Rotational manipulation of single cells and organisms using acoustic waves

This article has been updated (view changelog)

Abstract

The precise rotational manipulation of single cells or organisms is invaluable to many applications in biology, chemistry, physics and medicine. In this article, we describe an acoustic-based, on-chip manipulation method that can rotate single microparticles, cells and organisms. To achieve this, we trapped microbubbles within predefined sidewall microcavities inside a microchannel. In an acoustic field, trapped microbubbles were driven into oscillatory motion generating steady microvortices which were utilized to precisely rotate colloids, cells and entire organisms (that is, C. elegans). We have tested the capabilities of our method by analysing reproductive system pathologies and nervous system morphology in C. elegans. Using our device, we revealed the underlying abnormal cell fusion causing defective vulval morphology in mutant worms. Our acoustofluidic rotational manipulation (ARM) technique is an easy-to-use, compact, and biocompatible method, permitting rotation regardless of optical, magnetic or electrical properties of the sample under investigation.

Introduction

Precise rotational manipulation of particles, cells and multicellular organisms is an essential capacity in biotechnology that impacts various disciplines including single-cell analysis1,2, drug discovery3,4 and organism studies5,6,7. For example, distinct rotational behaviour due to different cell morphologies has been identified as a potential diagnosis method8,9. Providing three-dimensional (3D) interrogation, rotational manipulation can reveal hidden genetic, cellular and structural details that are vital in small organism phenotyping10,11,12,13, screening6,14,15 and microsurgery16,17,18 and which are not visible in typical translational manipulation.

Although several techniques have been established for the translational manipulation of particles and cells (for example, optical tweezers19, magnetic tweezers20, acoustic tweezers21,22, dielectrophoresis23 and electrorotation24,25), performing rotational manipulation has remained a significant challenge. Optical tweezers are widely used for generating rotational manipulation but the results are limited by physiological damage to cells and other biospecimens due to laser-induced heating26. In addition, the manipulation capability of existing methods strongly depends on the optical27,28, magnetic9,29 and electrical30,31 properties of the biospecimen. Recent studies have demonstrated acoustic vortex generation by an array of individually addressable transducers excited at various phases32,33,34, by acoustic transducers with helicoidal wave radiating surfaces35, and by the optoacoustic technique36. However, as of yet, no existing method has demonstrated the capacity to rotate small model animals (such as Caenorhabditis elegans) or cells on-chip.

Acoustofluidic methods that fuse acoustics and microfluidics have the potential for dramatically improving methods for manipulating cells and small animals. Acoustically driven trapped microbubbles are important tools in microfluidics37 that have been used in various applications including microflow control38, fluid mixing39 and pumping40, particle manipulation41,42,43 and gradient and chemical waveform generation44,45. In this article, we describe an acoustofluidic rotational manipulation (ARM) method, which utilizes steady acoustic microstreaming vortices created by the oscillatory motion of air microbubbles trapped in a microfluidic channel. The oscillatory motion is driven by the application of a low-power acoustic field. The ARM method presented here represents the first acoustic-based rotational manipulation approach to rotate biospecimen. This method is extremely versatile. Its operation is independent of the samples’ intrinsic properties. It allows effective and precise rotation of specimens over a wide range of sizes, shapes and properties. In addition, compared with optical, magnetic or electric field-based rotational manipulation methods, ARM is both extremely simple and practical. The entire operation requires only a single-layer polydimethylsiloxane (PDMS) channel and a simple, low-cost piezo transducer that can be integrated to existing microfluidic platforms. Using ARM, we have demonstrated for the first time, on-chip rotation of C. elegans, a valuable and frequently used model organism for elucidating the molecular mechanisms underlying human diseases46. We have used the ARM method to analyse the morphological features of C. elegans’ nervous and reproductive systems. Precise rotation of multicellular organisms such as C. elegans can provide a powerful and versatile platform to perform efficient and rapid analysis of cell and tissue morphologies or positions in three dimensions. With the growing use of organism-on-chip tools for investigating microorganisms and cells, our method is anticipated to be an invaluable tool in biology, biophysics and medicine.

Results

Working principle of the ARM method

The device setup (Fig. 1a) includes a PDMS-based single layer microfluidic channel and a piezoelectric transducer. The channel contains linear arrays of rectangular microcavities (Fig. 1b) that trap air microbubbles when the liquid is injected. A piezoelectric transducer mounted on a glass slide adjacent to the channel generates acoustic waves. When the trapped microbubble is exposed to an acoustic field with a wavelength much larger than microbubble diameters, oscillations are created, which, in turn, generate acoustic microstreaming47 (Fig. 2a).

Figure 1: Design and operation of the acoustofluidic rotational manipulation (ARM) device.
figure1

(a) A schematic of the experimental setup. The piezoelectric transducer that generates acoustic waves is placed adjacent to the microfluidic channel. The acoustic waves actuate air microbubbles trapped within sidewall microcavities. (b) An optical image showing a mid-L4 stage C. elegans trapped by multiple oscillating microbubbles. Scale bar, 100 μm.

Figure 2: Experimental and numerical demonstration of acoustic microstreaming.
figure2

(a) An optical image of acoustic microstreaming in the x-y plane during microbubble oscillation at a driving frequency of 24 kHz and voltage of 10 Vpp. (b) A simulation of microstreaming from the x-y plane (top view) of the microbubble. (c) An optical image of out-of-plane (perpendicular to the x-y plane) microstreaming during microbubble oscillation at 25.5 kHz and 15 Vpp. (d) 3D sketch demonstrating in-plane (marked in red) and out-of-plane (marked in blue) acoustic microstreaming vortices at frequency f1 and f2, respectively. (e) A graphic simulation illustrating microstreaming in the y-z plane (side view) of an asymmetric microbubble. Scale bars=30 μm. In both b and e, the arrows indicate the direction of the streaming velocity, while the colour plot shows the magnitude of the streaming velocity ranging from white (min) to black (max).

A spherical microbubble undergoing both radial as well as transverse oscillations in an unbounded Newtonian fluid produces a second-order steady flow that scales with the product of radial (ɛ) and transverse (ɛ′) microbubble oscillation amplitude and is linear in angular frequency, ω. For a fixed ratio of radial and transverse oscillations, the second-order streaming speed scales as uɛ2ω (ref. 48). This scaling has been reported to be preserved even in low-symmetry cases such as a microbubble oscillating near a wall49,50, and similarly should be preserved in microcavities within our acoustofluidic channel. For such a trapped microbubble oscillating with a small amplitude ɛ, the flow field around the microbubble can be obtained via a perturbation expansion approach, . In a Newtonian fluid of density ρ, the oscillatory first-order velocity u1 induces a second-order steady flow (also known as the acoustic streaming) with a velocity u2 which is governed by a Stokes equation with a body force term induced by the first-order flow51. For an approximate semi-cylindrical microbubble oscillating in the fundamental frequency, the liquid flow pattern is characterized by two symmetric vortices in the plane of oscillation as shown experimentally and numerically in Fig. 2a,b, respectively.

A powerful feature of an oscillating microbubble in an acoustic field is that numerous modes of the microbubble can be excited to generate different microstreaming flow patterns. Our experiments demonstrated complex microstreaming patterns for higher modes of oscillation (Supplementary Fig. 1). In addition, we have observed that the acoustically excited microbubbles produce single out-of-plane microstreaming vortex (Fig. 2d and Supplementary Movie 1) as a result of microbubble shape distortion that occurs due to the difference in contact angles between the glass and the PDMS52, as experimentally illustrated in Fig. 2c and numerically simulated in Fig. 2e. The simulations shown in Fig. 2b,e are for the top view (that is, the x-y plane) and side view (that is, the y-z plane), respectively of acoustic microstreaming induced by the microbubble.

When particles (polystyrene, cells or organisms) are introduced near an oscillating microbubble in an acoustic field, they experience both acoustic radiation and microstreaming-induced drag forces. Radiation force on particles arises due to the scattering of the incident waves from the oscillating microbubble. The time-averaged radiation force exerted on a spherical particle due to microbubble oscillation in an acoustic field can be expressed as53:

where a, aS, d, ω, ɛ are the radius of the microbubble, radius of the particle, distance between the microbubble and particle centre, angular frequency and microbubble displacement, respectively; and ρM, ρS denotes the density of the surrounding liquid and density of the particle, respectively. Depending on the densities of the particle and the surrounding medium, this force can either be attractive or repulsive. Particles with density higher than that of the surrounding medium are attracted towards the microbubble (φ(ρ)>0) and particles with density lower than that of the medium are repelled (φ(ρ)>0). This expression is consistent with our experiments. For example, polystyrene particles (1.05 g cm−3), HeLa cells (1.04 g cm−3; ref. 54) and C. elegans (1.08 g cm−3; ref. 55) are attracted towards the oscillating microbubbles. In addition, the radiation force is strongly dependent on the distance between the microbubble and the particle centre, and is inversely proportional to the fifth power of d. However, the radiation force alone cannot explain why particles of certain diameter are not trapped.

To gain a better understanding of the trapping mechanism of particles, we have to consider the effect of acoustic microstreaming on particles. Velocity (u) of the acoustic microstreaming flows due to an oscillating microbubble is given by53:

The force arising from acoustic microstreaming can be estimated by the Stokes’ drag:

where μ and uS are dynamic viscosity of the medium and the nonoscillatory velocity of the particle relative to the liquid, respectively. Figure 3a–e demonstrate the streaming effect on particles of different sizes. Although initially all the particles follow the streaming flows, 15 μm particles eventually get trapped at the microbubble surface (Supplementary Movie 2).

Figure 3: Acoustic radiation and acoustic streaming force analysis on particles with different sizes.
figure3

Image sequence demonstrating (ad) acoustic microstreaming of 2, 5, 7 and 10 μm polystyrene particles and (e) subsequent particle trapping of 15 μm particles at excitation frequency and amplitude of 70 kHz and 3 μm, respectively. (f) Plots of acoustic streaming (triangle, FAS) and radiation (FR) forces. The radiation forces for three different particle-microbubble centre are plotted at 42.5 (circle), 45 (square) and 47.5 μm (diamond). (g) The ratio of acoustic radiation to streaming forces at 70, 100 and 140 kHz excitation frequencies are plotted. The insets of g shows 10 μm polystyrene particles being trapped (at 140 kHz) and following the streaming flows (at 70 kHz). Error bars represent standard deviation (n5). Scale bar, 50 μm.

In general, any particles that are placed near an oscillating microbubble experience both radiation and streaming forces. To understand whether a particle will be trapped by the microbubble or not, we have to analyse the competing forces and their magnitudes. As can be seen from equation (1) and equation (4), the radiation force scales with the cube of the particle radius, while the streaming force scales linearly with the particle radius. Thus, for smaller particles, the streaming drag force dominates the motion of the particle until a transition size is reached, beyond which the radiation force becomes more dominant. Figure 3f describes the competing streaming and radiation forces for polystyrene particles of different sizes. The acoustic streaming force for particles with different sizes is calculated from the experimentally measured particle velocities. Here the distance between the microbubble and the particle centre is 42.5 μm. The radiation force is estimated for a microbubble acoustically excited at 70 kHz at experimentally measured ɛ=3 μm. The critical particle size for which the competing forces are equal can be determined by the intersection of the two plots in Fig. 3f, which corresponds to approximately 11 μm. For particles with diameter, 2aS<11 μm, FAS>FR, microstreaming dominates over the radiation forces, which results in the microparticles following the streamlines. On the other hand, for particles with diameter, 2aS>11 μm, radiation force dominates over the microstreaming force and as φ>0, microparticles are attracted towards the microbubble.

In addition, when the centre-to-centre distance between the microbubble and particle is increased, the radiation force weakens , thus the threshold of critical particle size increases as marked by the intersection points of the red and green plots, as demonstrated in Fig. 3f. It is also worth noting that as the particle size increases, the streaming force is compensated by the radiation force as demonstrated by the 15 μm polystyrene particle, in FAS plot in Fig. 3f.

A similar approach regarding particle trapping by the competing forces can also be estimated by taking the ratio of the two forces: radiation (FR) to the acoustic streaming forces (FAS)53:

The critical particle size for which the competing forces are equal can be determined when , corresponding to a particle of diameter 14 μm. For particles lower than the transition diameter, , acoustic microstreaming dominates over radiation force. On the other hand, for particles greater than the transition diameter, , radiation force dominates and microparticles are attracted towards the microbubble as indicated in Fig. 3g. By increasing the excitation frequencies of the microbubble, it is also possible to decrease the critical particle diameter to trap smaller sized particles, as demonstrated in the inset of Fig. 3g in which 10 μm polystyrene particles are trapped at 140 kHz, whereas similar size particles follow the streamlines at 70 kHz.

We also note that when , a particle is at equilibrium at some distance away from the microbubble, that is, the radiation force on a particle is balanced against the streaming force. The number of events of micro-objects remaining in equilibrium is rare; however, HeLa cells are sometimes seen to be at equilibrium, which may be attributed to its size variation. We note that the rotation of the particles is not sensitive to whether particles are trapped at the microbubble surface or trapped at equilibrium at some small distance away from the microbubble surface. The rotation is observed in either case (Supplementary Movie 3). Estimating the exact critical size is not precise based on the current particle analysis, however, it provides a design strategy to trap and rotate smaller particles. On the basis of the analysis, one would expect the transition or critical particle diameter to be similar in both analyses; however, variations may arise from the fact that the streaming-induced force is experimental in Fig. 3f and theoretical in Fig. 3g. It is also important to note that the streaming speed in equation (3) is derived for a spherical microbubble, whereas the microbubble trapped in our experiment is asymmetrical. Nevertheless, the above analyses are useful and reliable for qualitatively describing the experimentally observed particle-trapping behaviour. Finally, the above analysis is consistent with our experiment that the force generated by an oscillating microbubble is size dependent. Thus a C. elegans due to its much larger size experiences a larger radiation force, , thus exhibiting a stronger trapping force. Our experiments show that a single microbubble can pull the entire mid-body of a C. elegans against the channel sidewall (Supplementary Fig. 2 and Supplementary Movie 4). The presence of this trapping force enables us to rotate cells and worms under 3 μl min−1 within the microchannels of dimensions 120 μm in width and 100 μm in depth. However, once the rotation is halted, the samples drift, which may impede proper imaging. Therefore, all the rotational experiments were performed at zero flow rate, while maintaining the pressure at the inlets and the outlets at near equilibrium.

Rotation of microparticles and HeLa cells

Diluted microparticles were introduced near an oscillating microbubble in the microfluidic channel. The particles were attracted towards the microbubble due to the radiation force of an oscillating microbubble. Particles trapped at the microbubble surface would reposition themselves by sliding along the air–liquid interface. Observation using fast camera showed that particles are actually trapped at the nodes, the points with minimum oscillation displacement, of an oscillating microbubble (Supplementary Fig. 3). To demonstrate the node positions and particle trapping, we drove the microbubble at higher harmonics (60–90 kHz) and large driving voltage (20 VPP), to ensure discernable nodes and antinodes at the microbubble surface (Supplementary Fig. 3).

In a liquid, the hydrodynamic flow field produced by microstreaming induces a torque on the microparticle/cell and caused rotation. This rotation can be instantaneously turned on and off due to the low Reynolds number associated with the acoustic microstreaming. The Reynolds number for microbubble microstreaming was estimated50 to be , where ɛ=3 μm is the displacement amplitude of the microbubble oscillation, a=35 μm is the microbubble radius, f=70 kHz is the excitation frequency and ν=1.0 × 10−6 m2 s−1 is the kinematic viscosity.

Rotational manipulation of doublets, triplets and HeLa cells were demonstrated as image sequences in Fig. 4a–c, respectively (see also Supplementary Movies 5 and 6). The torque created by an oscillating microbubble is determined by the intensity of the ambient acoustic field, which is controlled by adjusting the voltage applied to the piezoelectric transducer. Rotational rates can be as large as 3,000 rotations per minute in cell medium. The rotation axis of cells and particles follows the streamlines of the in-plane and out-of-plane vortices of the oscillating microbubbles and undergoes z axis (Fig. 4c,e) and x axis (Fig. 4d,f) rotation, respectively. In addition, the rotation axis is independent of the shape of the rotated object as demonstrated by z axis rotation of HeLa cell, doublet and triplet in Fig. 4a–c, respectively, thus making the system versatile.

Figure 4: High-speed imaging showing the rotational motion of microparticles and cells caused by an oscillating microbubble.
figure4

Clockwise and in-plane rotation motion of (a) a doublet and (b) a triplet. (c) Counter clockwise in-plane rotation of a HeLa cell. (d) Out-of-plane rotation of a HeLa cell. Parallel (e) in-plane and (f) out-of-plane rotation of a HeLa cells. (g) Plot of rotational speed ω against driving voltage VPP of a HeLa cell driven by an oscillating microbubble, with a constant excitation frequency. The rotational rate of the cell varies as the second power of the driving voltage, ωV2.1. (h) Plot of the rotational angle θ versus a function of time t for a HeLa cell. Error bars represent standard deviation (n5). Scale bars, 10 μm.

The z axis rotation rate of HeLa cells was quantified using direct high-speed measurements of the liquid/microbubble interface. We observed that the amplitude of the microbubble oscillation is linearly proportional to the amplitude V of the voltage applied to the signal generator in water45,56. Thus, for a given microbubble configuration at a fixed excitation frequency, the acoustic microstreaming, and therefore, particle rotation ω attained by microbubble oscillations, should scale as V2 in water. Figure 4g shows that this quadratic relation is reasonably well satisfied by the oscillating microbubble confined in the microfluidic channel. Furthermore, it is worth noting that microbubbles excited at higher harmonics generate smooth rotational motion for cells or microparticles as demonstrated by the cycles of rotation in Fig. 4h.

A unique advantage of the ARM method is the ability to tune the rotation axis of the cells by tuning the excitation frequency (Supplementary Fig. 4 and Supplementary Note 1) or by designing bubbles with different sizes. By changing the frequency, different modes of microbubble oscillations can be achieved which results in a tuneable rotation axis as demonstrated in Supplementary Fig. 4 and Supplementary Movie 7. By changing the bubble size, out-of-plane rotation of a HeLa cell is achieved using 10 μm width microbubbles (keeping the channel height constant at 100 μm) as shown in Fig. 4d. This geometry yields consistent and reproducible out-of-plane rotation of cells (Supplementary Movie 8). High aspect ratio trapped bubble, oscillating at fundamental frequency, constrains its oscillations along the channel height, thus contributing to out-of-plane streaming. The rotation of the HeLa cells about the x axis could become useful for a thorough scan of the cell, while maintaining the focus of the microscope constant at a certain plane within the cell diameter. It is also worth noting that the trapping and rotation of particles and cells are coupled. That is, particles that are attracted by the oscillating microbubble are simultaneously being trapped by the radiation force and rotating with the streamlines of acoustic microstreaming vortices, as demonstrated by z and x axis rotations of the particles and cells.

The trapping position repeatability and rotational stability of 15 μm particles and the HeLa cells were analysed. Trapping position repeatability is characterized by measuring the arc length from the edge of the bubble to the point where the particle/cell sits (n10 for particles and cells); arc length is measured to be 68.7±1.8 μm and 58.8±2 μm for particles and cells, respectively (Supplementary Fig. 5 and Supplementary Note 2). The small difference in the arc lengths arises from the slight curvature difference between two sets of microbubbles in water and cell medium, and can be attributed to surface tension variation between the two fluid media57. Positional stability analysis was performed by tracking the centre of each object (x and y coordinates) during its course of rotation (Supplementary Fig. 6 and Supplementary Note 3). Both for the cells and particles, the centre coordinates of the cell/particle were found to be within 1 μm during continuous rotational manipulation of multiple cycles. The centre positions of cells show larger scattering compared with that of the particles because of various size and shape distribution of the cells.

Rotation of C. elegans

Mixed populations of wild-type C. elegans at various development stages were introduced into the ARM device after they were treated with levamisole, an anaesthetic agent. During the acoustic excitation of the microbubbles at their resonances, C. elegans were attracted (Fig. 5a) and trapped at the surface of the microbubbles, and the excitation frequency is adjusted to out-of-plane vortex to rotate the C. elegans along the x axis. We were particular about the x axis rotation of C. elegans, which is the same as the long axis of the worm, as it allows investigating the worm at different planes. A thorough scan of the worm can be achieved for this mode of rotation axis, while maintaining the microscope focus constant within the worm diameter. Unlike cells and particles, the trapping and rotation of C. elegans under the current experimental setup is decoupled due to the restriction of the channel geometry and the fact that multiple bubbles are trapping the worm. Therefore, C. elegans cannot follow the in-plane streaming flows (z axis rotation), and stays trapped until the out-of-plane vortices develops by tuning the frequency (Supplementary Movie 9).

Figure 5: High-speed images demonstrating trapping and rotation motion of C. elegans.
figure5

(a) Image sequence demonstrate trapping of C. elegans by an oscillating bubble via acoustic radiation force. (b) The rotational motion of an L4 stage C. elegans caused by simultaneous oscillation of multiple microbubbles. (c) A rotation sequence of the boxed area at a tighter time resolution. (d) Plot of the rotational angle θ versus a function of time t for a C. elegans. Error bars represent standard deviation (n5). Scale bars, 100 μm. Trapping and rotation of multiple worms (e) in series arrangement in a channel and (f) in parallel arrangement in multiple channels.

By adjusting the duration of applied power to the piezoelectric transducer, rotation of the animal could be either continuous or stepwise. Using continuously applied power at 92.2 kHz, the animal underwent smooth 360° rotations (Fig. 5b,c, and Supplementary Movie 10). Stepwise rotation was achieved through short pulses of acoustic excitation ranging from 5 to 70 ms durations shown in Fig. 5d for a fourth larval (L4) stage worm (see also Supplementary Movie 11). Stepwise rotation, along with voltage control, allowed repositioning of the C. elegans at any desired angle with excellent precision. For example, an individual worm was rotated by 4° with a 5 ms pulse as demonstrated in Fig. 5d. In Fig. 5b, a full 360° rotation occurs in 60 ms which is approximately six times faster than the stepwise rotation in Fig. 5d. For precise angular adjustment, a slow rotational rate was preferred. This could be achieved either by adjusting the applied voltage or frequency. In addition, the ARM method can be rendered for high-throughput studies as demonstrated in Fig. 5e,f and Supplementary Fig. 7. Positional stability of the worms during and after the rotational manipulation is also important for better imaging capability. We have observed slight worm drifting events along the channel once the acoustic power was turned off. This was identified as a result of the pressure fluctuations in the microchannel. By careful adjustment of the inlet and outlet tubing length and positions, and designing parallel channels (Supplementary Fig. 7) to reduce the effect of minute pressure differences in the microchannel, we achieved a more robust worm positioning once the rotation is halted (Supplementary Movie 12). In the absence of external liquid flow, the worm remains trapped and rotates in the same location after each cycle. However, during each cycle, the tip of the head of the worm rotates in an elliptical manner due to its slightly curved shape after the anaesthetic treatment. We tracked the tip of the C. elegans head and measured the spatial positions (x and y coordinates) during multiple-cycle rotations, also suggesting that the worm does not drift during rotation (Supplementary Fig. 6d,e and Supplementary Movie 12).

Application of the ARM to C. elegans developmental studies

We used the ARM method to analyse reproductive system pathology in C. elegans. The nematode vulva is a passageway between the uterus and the exterior and is required for egg-laying and mating. A mature vulva is tubular in shape and is formed from 22 epithelial cells that self-organize into seven concentric rings of unique dorso-ventral positional identity, vulA to vulF (Fig. 6a). We applied ARM to examine the morphological properties of the vulva toroidal rings. We imaged transgenic animals with the adherens junction marker ajm-1::GFP (Fig. 6b) in which green fluorescent protein (GFP) localizes to the apical border between toroids, essentially outlining each toroid for visualization58. The toroids change shape and position during morphogenesis, and when comparing wild-type and mutant animals, it is important to compare similar stages. A particular stage is most easily identified from a lateral view. However, the toroid shape is most effectively visualized and compared from a dorsal or ventral view, depending on which the toroid is to be examined. We imaged a wild-type animal from the lateral side, first confirming that the animal was at the mid-L4 stage according to the characteristic vulval morphology, the extension of the gonad arms and the size of the uterine lumen (Fig. 6b). Upon fluorescence imaging along this dorsoventral axis, as seen in Fig. 6c, all the rings appear as parallel lines stacked upon one another. VulA is visible as the space between the two most ventral GFP lines, but minimal information pertinent to morphological properties of vulA, such as shape and size, is evident. Therefore, we applied ARM to rotate the animal in order to observe the complete vulA ring morphology on the ventral side. With a 270° ARM rotation, a distinct ring, defining the edge of vulA, was observed closest to the hypodermis, and its characteristic round morphology is evident (Fig. 6d).

Figure 6: Toroid formation and cell position during C. elegans reproductive system morphogenesis.
figure6

(a) A schematic of vulva structure of a C. elegans showing seven concentric toroidal rings, VulA to VulF along the dorsoventral positional axis, connected by adherens junctions shown in green. Digital image of a vulva of (b,i) a wild-type animal and (e) an nhr-25(RNAi) animal. Fluorescence image of toroids created by visualization of the space between AJM-1::GFP adherens junction rings in (c) a wild-type and (f) an nhr-25(RNAi) animal acoustically driven along the dorsoventral axis. (d) The ventral view of an ARM rotated worm showing shape and size of border of vulA in wild-type and (g) in nhr-25(RNAi) animals. In the nhr-25(RNAi) animal, the vulA border is expanded laterally and abnormal adherens junctions (arrows) were seen. (h) A schematic of vulva epithelial cell positions along the left and right axis. Two VulF cells on the right and two on the left shown in green. (j) Dorsoventral view shows two GFP+ cells. (k) Ventral view obtained through ARM clearly shows four GFP+ cells. Scale bars, 10 μm.

RNA interference (RNAi) with NR4A family nuclear hormone receptors nhr-25 results in abnormal vulval ring formation59. We analysed the ring morphology in nhr-25(RNAi) animals from both the lateral and ventral perspective for the first time. From a lateral perspective, we can identify an animal of appropriate stage, when fusions should be complete (Fig. 6e) and observe that toroids have formed (Fig. 6f). However, only after applying ARM to examine the ring morphologies from a ventral view in the same animal, can we observe an abnormally shaped toroid with defective epithelial junctions (Fig. 6g). The junction between vulA and the hypodermis is abnormally elongated in the lateral plane (arrow) and an abnormally unfused cell (arrowhead) is present. Twenty-three per cent of animals (n=200) have visible toroid shape defects when analysed using ARM.

As a further demonstration of the value of ARM, we also examined the expression of a GFP marker with a distinct left and right expression pattern. The epidermal growth factor homologue LIN-3 is expressed in the VulF toroid, which is comprised of two left-side and two right-side vulval epithelial cells60 (Fig. 6h,i). The entire lin-3::GFP expression pattern was effectively visualized through ARM. Along the dorsoventral axis, only two GFP+ cells were clearly seen (Fig. 6j). The ARM was applied to rotate the animal perpendicularly to the ventral position to observe all the four GFP+ cells simultaneously (Fig. 6k).

We also used this technique to examine the morphology of the C. elegans ALA interneurons using the ida-1::GFP transgene, which is expressed in the ALA cell body and dendrites, as well as in other neurons and the spermathecae (ida-1::GFP)61. The ALA cell body extends two dendrites along the left and right axis to the tail of the animal62 as seen in Fig. 7a. At the dorsoventral axis, it was difficult to distinguish the left and right dendrites of ALA due to masking (Fig. 7b). We used the ARM technology to rotate the animal gradually in two steps of 45° rotation and were able to observe the distinct migratory pattern of both the left and right ALA dendrites (Fig. 7c,d).

Figure 7: Observations of the anatomy of ALA neuron dendrites using rotational orientation.
figure7

(a) A schematic of C. elegans showing the anatomy of ALA cell body and dendrites. (b) Fluorescence image of a C. elegans showing overlapped, masked ALA dendrites at the dorsoventral axis. The worm is rotated (c) 45° and (d) 90° simultaneously exposing the left and right dendrites for observation. Scale bar, 40 μm.

Discussion

ARM provides an excellent platform for a wide range of applications in the biological and physical sciences. The ARM method can trap and rotate microparticles, cells and organisms in a compact microfluidic device by using oscillating microbubbles in an acoustic field. It is critical that the ARM method is capable of rotating micro-objects regardless of their electrical, magnetic or optical properties. Our ARM technology shows significant advances in biocompatibility and versatility beyond existing rotational manipulation methods. We have demonstrated the biocompatibility of our method by conducting a HeLa cell viability test, which resulted in an 99.2% survival rate for the cells after experiencing acoustic field for 1–2 min (Supplementary Fig. 8). Viability of cells in acoustic fields primarily depends on the acoustic pressure amplitude or applied voltage, and the heat associated with it. Most acoustic applications pertaining to cells in microfluidics was reported to be biocompatible and safe21,63. Unlike inertial bubble cavitation (where bubbles collapse in the presence of strong acoustic pressure) or high-amplitude strong oscillations, we used stable, low-amplitude bubble oscillations, which require very low acoustic power. The rotation of cells can even be seen at a voltage as low as 2 VPP corresponding to approximately 60 r.p.m. Thus, low voltage corresponding to low-amplitude oscillations used for rotational manipulation does not damage cells when compared with stronger acoustic bubble cavitations50,64. The controlled rotation of HeLa cells was demonstrated by modulating the oscillation amplitude of the microbubbles. The wide range of angular velocities achieved in rotational manipulation could provide an excellent tool for massively parallel single-cell mechano-biological studies through arrays of microbubbles within horse-shoe-structures39,44,45 or sidewall cavities. It is an important ability to create physiological conditions to understand how cells react to mechanical forces which is critical in various applications including tissue engineering of vascular cells and heart valves65,66.

The ARM technology provides unique advantages for imaging a model organism such as C. elegans. During investigations of the ALA neuron dendrites, imaging in general was difficult due to overlapping of GFP patterns; rotation of the worm permitted acquisition of distinct dendrites images in a single animal and allowed access to the neuronal network of the organism. This feature holds great promise for in vivo laser microsurgery studies applied in axon-regeneration processes, where you can damage multiple neurons at a time and later analyse their regeneration properties with ease10,14,17,18.

Similarly, we used our method to examine the composition and structure of the C. elegans vulva. Rotational manipulation allowed us to categorize mutant worms by analysing the defective cell shape and size comprising the vulval rings. Specimen rotation using ARM is precise, rapid and more importantly, controllable, thus photobleaching becomes less challenging for fluorescent samples. Furthermore, dynamic rotational positioning and rapid identification of the defective cellular structures can be potentially coupled with on-chip model animal sorting applications. It is also important to note that the ARM chip costs less than $1 in bulk fabrication. The permanent instrument, which includes compact, custom-designed electronics, can be manufactured for under $100. With this inexpensive setup, even low-cost fluorescent microscopes67,68 can be used to obtain 3D imaging capability, which makes 3D imaging accessible to many low-budget laboratories around the world that do not have access to confocal microscopy facilities. The ARM method can be extended to other small organisms by simple design modifications of the microfluidic devices. The ARM method offers rapid and accurate angular adjustment of the cells and organisms. Given the growing use of organism-on-chip tools for investigating small animals, our method is valuable in the field of bioengineering, biophysics, medicine and developmental biology.

Methods

Device design and fabrication

A single-layer PDMS microchannel (height: 100 μm, width: 120 μm, length: 10 mm) with pre-designated microbubble trapping sites was fabricated using the soft lithography and the replica moulding technique. A silicon master mould for the microchannel was patterned using a positive photoresist (Shipley 1827, MicroChem, USA) and etched with deep reactive ion etching. The mould was then vapour coated with 1H,1H,2H,2H-perfluorooctyl-trichlorosilane (Sigma Aldrich, USA) to reduce its surface energy and any subsequent damage to the PDMS channel during the demoulding process. Sylgard 184 Silicone Elastomer Base and Sylgard 184 Silicone Elastomer Curing Agent (Dow Corning, USA) were mixed at a 10:1 (weight:weight) ratio and cast onto the silicon mould. The uncured PDMS on the silicon mould was then degassed in a vacuum desiccator for 2 h to remove any air microbubbles and later cured at 65 °C for 2 h. After gently removing the cured PDMS from the silicon mould, the inlets and the outlets were punched into the PDMS using a reusable biopsy punch (Harris Uni-Core, Ted Pella, USA). The microfluidic channel device and a 25 × 60 mm micro-cover glass (SuperSlips, VWR, USA) were treated with oxygen plasma for 10 and 60 s, respectively. Then, the PDMS device was bonded to the cover glass, and kept at 65 °C overnight. A piezoelectric transducer (model number 273-073, Radioshack, USA) was then attached to the glass slide adjacent to the channel using a thin layer of epoxy (84101, Permatex, USA).

Device operation

The glass slide, with the attached microfluidic channel and piezoelectric transducer, was mounted on an inverted optical microscope stage (TE-2000U, Nikon, Japan). Microparticles, cells and C. elegans were infused into the channel through a 1-ml syringe (309659, Becton Dickinson, USA) by automated syringe pumps (Nemesys, Cetoni, Germany). Once the microbubbles were trapped via surface tension effect, the transducer was connected to a function generator to control the microbubble activation using a sine wave produced by a function generator (AFG 3011, Tektronix, USA). The driving voltages used in the experiments were 2–20 VPP. The working frequency for the rotational manipulation was adjusted by sweeping the frequency.

Numerical simulation

The numerical simulations shown in Fig. 2 were performed using the open source finite element library, deal.II. Owing to the difficulties associated with obtaining a direct solution for problems involving acoustic streaming51, we utilized a perturbation approach to split the flow variables into the first- and second-order components. The acoustic streaming response of the fluid can be characterized by the second-order system of equations, which in turn is driven by the first-order equations. The fluid response is governed by the standard Navier–Stokes equations for a linear, viscous compressible fluid:

where ρ is the mass density of the fluid, p is the fluid pressure, and μ and μb are the shear and the bulk dynamic viscosities, respectively. We use Nyborg’s perturbation approach48 where the fluid velocity, pressure and density are assumed to be of the following form:

where ɛ is a non-dimensional parameter defined as the ratio of oscillation amplitude to the microbubble radius. Substitution of equation (8) in equations (6) and (7), and segregation of first-order terms yields a first-order system:

Following the same procedure for the second-order terms, and a subsequent time-averaging over a period of oscillation, yields the second-order system of equations:

We successively solved the first- and the second-order equations to obtain the streaming velocity of the fluid. Due to the high computational costs associated with the full 3D computations of the system, we performed separate two-dimensional simulations for the top view and the side view, as shown in Fig. 2. The primary purpose of Fig. 2 is to identify the nature of the acoustic streaming field inside the microchannel. To this end, Fig. 2a,b show the top view (x-y plane) of the device experimentally and numerically, respectively, demonstrating the two vortices produced around the microbubble surface. Figure 2c shows the position of a microparticle on a focal plane close to the glass slide at different times, where the increasing distance of the microparticle from the microbubble surface demonstrates that the acoustic streaming velocity is pointed away from the microbubble surface. Figure 2d shows a sketch of the 3D nature of the flow field, which was also identified in our experiments, where we observed a single vortex in the y-z plane arising from the non-symmetric nature of the microbubble surface in this plane. The non-symmetric nature of the microbubble surface can be attributed to the fact that the top and the bottom wall of the microchannel is made of different materials (PDMS and glass, respectively), resulting in different contact angles. This results in the formation of a single vortex in the y-z plane as demonstrated by the numerical simulations for an asymmetric microbubble surface in the y-z plane (Fig. 2e).

Image acquisition

The microfluidic cell and worm images were captured at room temperature (25 °C) using an inverted microscope (Eclipse TE2000-U, Nikon, Japan) with × 4, × 10, × 20 and × 60 objectives (numerical aperture: 0.45). The images were captured by Nikon imaging software (NIS-Advanced, Nikon, Japan) using a Coolsnap CCD digital camera (CoolSNAP HQ2, Photometrics, USA). Movies were recorded by a Photron FASTCAM Viewer (PFV, Photron, USA) using a fast camera (Fastcam SA4, Photron, USA). For fluorescence imaging, a Nikon filter cube (excitation: 470 nm, emission: 515 nm) and a fibre optic illumination system (Intensilight, Nikon, Japan) were used.

Cell and particle preparation

HeLa cells (purchased from ATCC) were incubated in DMEM/F12 medium (Gibco, Life Technologies, USA), containing 10% fetal bovine serum (Gibco, Life Technologies, USA) and 1% penicillin−streptomycin (Mediatech, USA). A total 5 × 105 ml−1 HeLa cells were suspended in MEM solution and were injected into the microfluidic channel. Polystyrene beads (polybead, Polyscience, USA) were prepared in DI water (106 ml−1) at room temperature.

Nematode strains

  • N2: a wild isolate of C. elegans from Bristol, UK.

  • BL5715: inIs179 II; him-8(e1489) IV; a transgenic nematode strain carrying ida-1::GFP (inIs179). GFP is expressed in a subset of neurons (including ALA neurons) and the neuroendocrine uv1 cells.

  • SU93: jcIs1 [ajm-1::GFP+unc-29(+)+rol-6(su1006)] IV; a transgenic nematode strain carrying adherens junction marker −1 (ajm-1) fused to GFP. GFP expression is seen at the apical surfaces of cells.

  • PS4308: syIs107 [unc-119(+)+lin-3(delta-pes-10)::GFP; a transgenic nematode strain carrying epidermal growth factor homologue lin-3::GFP. GFP expression is seen in the anchor cell and VulF lineages during vulva development.

Strains N2, BL5715, SU93 and PS4308 were provided by the Caenorhabditis Genetics Center, which is funded by the NIH Office of Research Infrastructure Programs (P40 OD010440).

Nematode growth and maintenance

Nematode growth medium (NGM) agar was made by dissolving and autoclaving 3 g of NaCl, 17 g of agar and 2.5 g of peptone with 975 ml of H2O. When the autoclaved media cooled down to 65 ° C, 1 ml of 1 M CaCl2, 1 ml 5 mg ml−1 of cholesterol in ethanol, 1 ml of 1 M MgSO4 and 25 ml of 1 M KPO4 buffer were added to it. All the strains were grown on 60 mm NGM agar petri plates at standard growth conditions of 20 °C (ref. 69). The Escherichia coli strain OP50 was used as the nematode food source on NGM plates.

Levamisole treatment

An M9 solution was made by adding 3 g of KH2PO4, 6 g of Na2HPO4 and 5 g of NaCl to 1 litre of H2O. The solution was autoclaved. When cool, 1 ml of sterile 1 M MgSO4 was added to it. A mixed staged population of C. elegans collected from three NGM plates was suspended in 200 μl M9. Then, 50 μl of the resulting C. elegans pellet was treated with 100 μl of 50 mM levamisole ([(−) tetramisole hydrochloride, Sigma-Aldrich, USA) for 15 min. The C. elegans were sedated with 500 μl of 100 mM levamisole just before injecting them into the microfluidic chamber.

RNAi technique

The genes were knocked down by feeding double-strand RNA (dsRNA) to C. elegans in order to degrade its complimentary messenger RNA (mRNA). Briefly, to express nhr-25 dsRNA, E. coli HT115 harbouring isopropyl-β-D-thiogalactosidase (IPTG) inducible T7 polymerase was grown in LB-ampicillin (50 μg ml−1) overnight at 37 ° C. A total 200 μl of bacterial culture was seeded onto NGM agar plates containing 50 μg ml−1 of carbenicillin, 12.5 μg ml−1 of tetracycline and 0.4 mM of IPTG. These plates were left overnight for drying at room temperature. Three or four L4-stage SU93 worms were placed on each plate and their F1 progeny were observed for vulva ring morphologies.

Additional information

How to cite this article: Ahmed, D. et al. Rotational manipulation of single cells and organisms using acoustic waves. Nat. Commun. 7:11085 doi: 10.1038/ncomms11085 (2016).

Change history

  • 01 April 2016

    This paper was updated shortly after publication, following a technical error that resulted in the Supplementary Movie links connecting to the wrong files. The error has now been corrected in the HTML. The PDF has been correct from the time of publication.

References

  1. 1

    Hong, S., Pan, Q. & Lee, L. P. Single-cell level co-culture platform for intercellular communication. Integr. Biol. (Camb) 4, 374–380 (2012).

    CAS  Article  Google Scholar 

  2. 2

    Pushkarsky, I. et al. Automated single-cell motility analysis on a chip using lensfree microscopy. Sci. Rep. 4, 4714 (2014).

    Google Scholar 

  3. 3

    Fraser, A. G. et al. Functional genomic analysis of C. elegans chromosome I by systematic RNA interference. Nature 408, 325–330 (2000).

    ADS  CAS  Article  PubMed  Google Scholar 

  4. 4

    Chung, A. J., Huh, Y. S. & Erickson, D. A robust, electrochemically driven microwell drug delivery system for controlled vasopressin release. Biomed. Microdevices 11, 861–867 (2009).

    CAS  Article  PubMed  Google Scholar 

  5. 5

    Cáceres Ide, C., Valmas, N., Hilliard, M. A. & Lu, H. Laterally orienting C. elegans using geometry at microscale for high-throughput visual screens in neurodegeneration and neuronal development studies. PLoS ONE 7, e35037 (2012).

    ADS  Article  PubMed  Google Scholar 

  6. 6

    Rohde, C. B., Zeng, F., Gonzalez-Rubio, R., Angel, M. & Yanik, M. F. Microfluidic system for on-chip high-throughput whole-animal sorting and screening at subcellular resolution. Proc. Natl Acad. Sci. USA 104, 13891–13895 (2007).

    ADS  CAS  Article  PubMed  Google Scholar 

  7. 7

    Coskun, A. F., Sencan, I., Su, T.-W. & Ozcan, A. Lensfree fluorescent on-chip imaging of transgenic caenorhabditis elegans over an ultra-wide field-of-view. PLoS ONE 6, e15955 (2011).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  8. 8

    Mohanty, S. K., Uppal, A. & Gupta, P. K. Self-rotation of red blood cells in optical tweezers: prospects for high throughput malaria diagnosis. Biotechnol. Lett. 26, 971–974 (2004).

    CAS  Article  PubMed  Google Scholar 

  9. 9

    Elbez, R., McNaughton, B. H., Patel, L., Pienta, K. J. & Kopelman, R. Nanoparticle induced cell magneto-rotation: monitoring morphology, stress and drug sensitivity of a suspended single cancer cell. PLoS ONE 6, e28475 (2011).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. 10

    Chung, K., Crane, M. M. & Lu, H. Automated on-chip rapid microscopy, phenotyping and sorting of C. elegans. Nat. Methods 5, 637–643 (2008).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  11. 11

    Pardo-Martin, C. et al. High-throughput hyperdimensional vertebrate phenotyping. Nat. Commun. 4, 1467 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12

    Crane, M. M. et al. Autonomous screening of C. elegans identifies genes implicated in synaptogenesis. Nat. Methods 9, 977–980 (2012).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  13. 13

    Ghorashian, N., Gökçe, S. K., Guo, S. X., Everett, W. N. & Ben-Yakar, A. An automated microfluidic multiplexer for fast delivery of C. elegans populations from multiwells. PLoS ONE 8, e74480 (2013).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  14. 14

    Pardo-Martin, C. et al. High-throughput in vivo vertebrate screening. Nat. Methods 7, 634–636 (2010).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. 15

    Ben-Yakar, A., Chronis, N. & Lu, H. Microfluidics for the analysis of behavior, nerve regeneration, and neural cell biology in C. elegans. Curr. Opin. Neurobiol. 19, 561–567 (2009).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. 16

    Guo, S. X. et al. Femtosecond laser nanoaxotomy lab-on-a-chip for in vivo nerve regeneration studies. Nat. Methods 5, 531–533 (2008).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  17. 17

    Neumann, B., Nguyen, K. C. Q., Hall, D. H., Ben-Yakar, A. & Hilliard, M. A. Axonal regeneration proceeds through specific axonal fusion in transected C. elegans neurons. Dev. Dyn. 240, 1365–1372 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  18. 18

    Yanik, M. F. et al. Neurosurgery: functional regeneration after laser axotomy. Nature 432, 822 (2004).

    ADS  CAS  Article  PubMed  Google Scholar 

  19. 19

    Grier, D. G. A revolution in optical manipulation. Nature 424, 810–816 (2003).

    ADS  CAS  Article  PubMed  Google Scholar 

  20. 20

    De Vlaminck, I. & Dekker, C. Recent advances in magnetic tweezers. Annu. Rev. Biophys. 41, 453–472 (2012).

    CAS  Article  PubMed  Google Scholar 

  21. 21

    Ding, X. et al. On-chip manipulation of single microparticles, cells, and organisms using surface acoustic waves. Proc. Natl Acad. Sci. USA 109, 11105–11109 (2012).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  22. 22

    Brodie, G. W. J., Qiu, Y., Cochran, S., Spalding, G. C. & Macdonald, M. P. Letters: optically transparent piezoelectric transducer for ultrasonic particle manipulation. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 61, 389–391 (2014).

    Article  PubMed  Google Scholar 

  23. 23

    Cheng, P., Barrett, M. J., Oliver, P. M., Cetin, D. & Vezenov, D. Dielectrophoretic tweezers as a platform for molecular force spectroscopy in a highly parallel format. Lab Chip 11, 4248 (2011).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. 24

    Pilwat, G. & Zimmermann, U. Rotation of a single cell in a discontinuous rotating electric field. J. Electroanal. Chem. Interfacial Electrochem. 155, 155–162 (1983).

    Article  Google Scholar 

  25. 25

    Fuhr, G. et al. Levitation, holding, and rotation of cells within traps made by high-frequency fields. Biochim. Biophys. Acta 1108, 215–223 (1992).

    CAS  Article  PubMed  Google Scholar 

  26. 26

    Rasmussen, M. B., Oddershede, L. B. & Siegumfeldt, H. Optical tweezers cause physiological damage to Escherichia coli and Listeria bacteria. Appl. Environ. Microbiol. 74, 2441–2446 (2008).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  27. 27

    Friese, M. E. J., Nieminen, T. A., Heckenberg, N. R. & Rubinsztein-Dunlop, H. Optical alignment and spinning of laser-trapped microscopic particles. Nature 395, 4 (2003).

    Google Scholar 

  28. 28

    Liu, M., Zentgraf, T., Liu, Y., Bartal, G. & Zhang, X. Light-driven nanoscale plasmonic motors. Nat. Nanotechnol. 5, 570–573 (2010).

    ADS  CAS  Article  PubMed  Google Scholar 

  29. 29

    Bentley, A. K., Trethewey, J. S., Ellis, A. B. & Crone, W. C. Magnetic manipulation of copper-tin nanowires capped with nickel ends. Nano Lett. 4, 487–490 (2004).

    ADS  CAS  Article  Google Scholar 

  30. 30

    Fan, D. L., Zhu, F. Q., Xu, X., Cammarata, R. C. & Chien, C. L. Electronic properties of nanoentities revealed by electrically driven rotation. Proc. Natl Acad. Sci. USA 109, 9309–9313 (2012).

    ADS  CAS  Article  PubMed  Google Scholar 

  31. 31

    Chau, L.-H. et al. Self-rotation of cells in an irrotational AC E-field in an opto-electrokinetics chip. PLoS ONE 8, e51577 (2013).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  32. 32

    Hong, Z., Zhang, J. & Drinkwater, B. W. Observation of orbital angular momentum transfer from bessel-shaped acoustic vortices to diphasic liquid-microparticle mixtures. Phys. Rev. Lett. 114, 214301 (2015).

    ADS  Article  PubMed  Google Scholar 

  33. 33

    Marzo, A. et al. Holographic acoustic elements for manipulation of levitated objects. Nat. Commun. 6, 8661 (2015).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  34. 34

    Grinenko, A. et al. Tunable beam shaping with a phased array acousto-optic modulator. Opt. Express 23, 26 (2015).

    ADS  CAS  Article  PubMed  Google Scholar 

  35. 35

    Hefner, B. T. & Marston, P. L. An acoustical helicoidal wave transducer with applications for the alignment of ultrasonic and underwater systems. J. Acoust. Soc. Am. 106, 3313 (1999).

    ADS  Article  Google Scholar 

  36. 36

    Gspan, S., Meyer, A., Bernet, S. & Ritsch-Marte, M. Optoacoustic generation of a helicoidal ultrasonic beam. J. Acoust. Soc. Am. 115, 1142 (2004).

    ADS  Article  Google Scholar 

  37. 37

    Hashmi, A., Yu, G., Reilly-Collette, M., Heiman, G. & Xu, J. Oscillating bubbles: a versatile tool for lab on a chip applications. Lab Chip 12, 4216–4227 (2012).

    CAS  Article  PubMed  Google Scholar 

  38. 38

    Hashmi, A. et al. Oscillating bubbles in teardrop cavities for microflow control. Microfluid. Nanofluidics 14, 591–596 (2013).

    CAS  Article  Google Scholar 

  39. 39

    Ahmed, D., Mao, X., Shi, J., Juluri, B. K. & Huang, T. J. A millisecond micromixer via single-bubble-based acoustic streaming. Lab Chip 9, 2738–2741 (2009).

    CAS  Article  PubMed  Google Scholar 

  40. 40

    Tovar, A. R., Patel, M. V. & Lee, A. P. Lateral air cavities for microfluidic pumping with the use of acoustic energy. Microfluid. Nanofluidics 10, 1269–1278 (2011).

    CAS  Article  Google Scholar 

  41. 41

    Wang, C., Jalikop, S. V. & Hilgenfeldt, S. Efficient manipulation of microparticles in bubble streaming flows. Biomicrofluidics 6, 12801–1280111 (2012).

    Article  PubMed  Google Scholar 

  42. 42

    Xie, Y. et al. Acoustofluidic relay: sequential trapping and transporting of microparticles via acoustically excited oscillating bubbles. J. Lab. Autom. 19, 137–143 (2014).

    CAS  Article  PubMed  Google Scholar 

  43. 43

    Xu, Y. et al. Microbubble array for on-chip worm processing. Appl. Phys. Lett. 102, 023702 (2013).

    ADS  Article  Google Scholar 

  44. 44

    Ahmed, D. et al. Tunable, pulsatile chemical gradient generation via acoustically driven oscillating bubbles. Lab Chip 13, 328–331 (2013).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  45. 45

    Ahmed, D. et al. Acoustofluidic chemical waveform generator and switch. Anal. Chem. 86, 11803–11810 (2014).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  46. 46

    Kaletta, T. & Hengartner, M. O. Finding function in novel targets: C. elegans as a model organism. Nat. Rev. Drug Discov. 5, 387–398 (2006).

    CAS  Article  PubMed  Google Scholar 

  47. 47

    Ainslie, M. A. & Leighton, T. G. Review of scattering and extinction cross-sections, damping factors, and resonance frequencies of a spherical gas bubble. J. Acoust. Soc. Am. 130, 3184–3208 (2011).

    ADS  Article  PubMed  Google Scholar 

  48. 48

    Longuet-Higgins, M. S. Viscous streaming from an oscillating spherical bubble. Proc. R. Soc. A Math. Phys. Eng. Sci. 454, 725–742 (1998).

    ADS  MathSciNet  CAS  Article  Google Scholar 

  49. 49

    Marmottant, P. & Hilgenfeldt, S. A bubble-driven microfluidic transport element for bioengineering. Proc. Natl Acad. Sci. USA 101, 9523–9527 (2004).

    ADS  CAS  Article  PubMed  Google Scholar 

  50. 50

    Marmottant, P. & Hilgenfeldt, S. Controlled vesicle deformation and lysis by single oscillating bubbles. Nature 423, 153–156 (2003).

    ADS  CAS  Article  PubMed  Google Scholar 

  51. 51

    Nama, N., Huang, P.-H., Huang, T. J. & Costanzo, F. Investigation of acoustic streaming patterns around oscillating sharp edges. Lab Chip 14, 2824–2836 (2014).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  52. 52

    Tho, P., Zhu, Y., Manasseh, R. & Ooi, A. Measurement of microbubble-induced acoustic microstreaming using microparticle image velocimetry. Proc. SPIE 5651, 336–347 (2005).

    ADS  Article  Google Scholar 

  53. 53

    Miller, D. L. Particle gathering and microstreaming near ultrasonically activated gas-filled micropores. J. Acoust. Soc. Am. 84, 1378–1387 (1988).

    ADS  CAS  Article  PubMed  Google Scholar 

  54. 54

    Wolff, D. A. & Pertoft, H. Separation of HeLa cells by colloidal silica density gradient centrifugation. I. Separation and partial synchrony of mitotic cells. J. Cell Biol. 55, 579–585 (1972).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  55. 55

    Reina, A., Subramaniam, A. B., Laromaine, A., Samuel, A. D. T. & Whitesides, G. M. Shifts in the distribution of mass densities is a signature of caloric restriction in Caenorhabditis elegans. PLoS ONE 8, e69651 (2013).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  56. 56

    Ahmed, D. et al. Selectively manipulable acoustic-powered microswimmers. Sci. Rep. 5, 9744 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  57. 57

    van der Pol, L. & Tramper, J. Shear sensitivity of animal cells from a culture-medium perspective. Trends Biotechnol. 16, 323–328 (1998).

    CAS  Article  PubMed  Google Scholar 

  58. 58

    Sharma-Kishore, R., White, J. G., Southgate, E. & Podbilewicz, B. Formation of the vulva in Caenorhabditis elegans: a paradigm for organogenesis. Development 126, 691–699 (1999).

    CAS  PubMed  Google Scholar 

  59. 59

    Chen, Z., Eastburn, D. J. & Han, M. The Caenorhabditis elegans nuclear receptor gene nhr-25 regulates epidermal cell development. Mol. Cell. Biol. 24, 7345–7358 (2004).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  60. 60

    Hwang, B. J. & Sternberg, P. W. A cell-specific enhancer that specifies lin-3 expression in the C. elegans anchor cell for vulval development. Development 131, 143–151 (2004).

    CAS  Article  PubMed  Google Scholar 

  61. 61

    Zahn, T. R., Macmorris, M. A., Dong, W., Day, R. & Hutton, J. C. IDA-1, a Caenorhabditis elegans homolog of the diabetic autoantigens IA-2 and phogrin, is expressed in peptidergic neurons in the worm. J. Comp. Neurol. 429, 127–143 (2001).

    CAS  Article  PubMed  Google Scholar 

  62. 62

    Van Buskirk, C. & Sternberg, P. W. Epidermal growth factor signaling induces behavioral quiescence in Caenorhabditis elegans. Nat. Neurosci. 10, 1300–1307 (2007).

    CAS  Article  PubMed  Google Scholar 

  63. 63

    Qiu, Y. et al. Acoustic devices for particle and cell manipulation and sensing. Sensors 14, 14806–14838 (2014).

    Article  PubMed  Google Scholar 

  64. 64

    Zhou, Y., Yang, K., Cui, J., Ye, J. Y. & Deng, C. X. Controlled permeation of cell membrane by single bubble acoustic cavitation. J. Control. Release 157, 103–111 (2012).

    CAS  Article  PubMed  Google Scholar 

  65. 65

    Ramaswamy, S. et al. A novel bioreactor for mechanobiological studies of engineered heart valve tissue formation under pulmonary arterial physiological flow conditions. J. Biomech. Eng. 136, 121009 (2014).

    Article  PubMed  Google Scholar 

  66. 66

    Deng, M. et al. New proangiogenic activity on vascular endothelial cells for C-terminal mechano growth factor. Acta Biochim. Biophys. Sin. (Shanghai) 44, 316–322 (2012).

    CAS  Article  Google Scholar 

  67. 67

    Miller, A. R. et al. Portable, battery-operated, low-cost, bright field and fluorescence microscope. PLoS ONE 5, e11890 (2010).

    ADS  Article  PubMed  PubMed Central  Google Scholar 

  68. 68

    Ghosh, K. K. et al. Miniaturized integration of a fluorescence microscope. Nat. Methods 8, 871–878 (2011).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  69. 69

    Brenner, S. The genetics of Caenorhabditis elegans. Genetics 77, 71–94 (1974).

    CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank Joseph Rufo for his help organizing the manuscript. We acknowledge support from National Institutes of Health (1 R01 GM112048-01A1 and 1R33EB019785-01), National Science Foundation (CBET-1438126 and IDBR-1455658), and the Center for Nanoscale Science, a National Science Foundation (NSF) Materials Research Science and Engineering Center supported under DMR-1420620. Components of this work were conducted at the Penn State node of the NSF-funded National Nanotechnology Infrastructure Network. A.O. acknowledges the support from Turkey’s Ministry of National Education.

Author information

Affiliations

Authors

Contributions

D.A. conceived the initial idea. A.O., D.A., N.B. and W.H.-R. contributed to the experimental design and scientific presentation. A.O, D.A and N.B. performed all the experiments and data analysis. A.O., D.A. and Y.C. fabricated the ARM devices. D.A. and N.N. contributed to the theoretical analysis. N.N. performed the simulations. N.B., A.U., A.O. and W.H.-R. prepared C. elegans for the experiments. A.O. cultured and prepared HeLa cells. All the authors contributed to the scientific discussion and writing of the manuscript. T.J.H. provided overall guidance and contributed to the experimental design and scientific presentation.

Corresponding author

Correspondence to Tony Jun Huang.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Information

Supplementary Figures 1-8, Supplementary Notes 1-3 and Supplementary References (PDF 1041 kb)

Supplementary Movie 1

Out-of-plane streaming of particles. 5 μm polystyrene particles are used to visualize out-of-plane streaming flows at 26 kHz and 20 VPP (peak-to-peak). (AVI 2767 kb)

Supplementary Movie 2

Effect of radiation force and microstreaming on different size particles. 2, 5, 7, 10, and 15 μm polystyrene particles are exposed to a 70 μm wide microbubble excited at 70 kHz and 10 VPP (peak-to-peak). The particles away from the microbubble experience both acoustic radiation force and microstreaming force. For smaller particles, the acoustic streaming force is dominant over the radiation force, so the smaller particles follow the streaming flows. On the other hand, 15 μm particles are trapped by the microbubble even though they follow the streaming flow initially. (AVI 1826 kb)

Supplementary Movie 3

Trapping of HeLa cells. HeLa cells are trapped both at the nodal points on the microbubble surface and at a small distance away from the microbubble at 70 kHz and 10 VPP (peak-to-peak). (AVI 1907 kb)

Supplementary Movie 4

Acoustic radiation force acting on a C. elegans. A smaller bubble is excited at 90 kHz and 20 VPP (peak-to-peak) in order to pull a C. elegans towards the microchannel wall close to the side-wall grove using the acoustic radiation force. Trapped bubble size can be adjusted by controlling the pressure inside the microchannel. A smaller bubble that is not protruding out from the sidewall grove is advantageous to demonstrate bubble-worm attraction without direct contact between the bubble and the worm. The movie is captured at 1,000 fps (stored by skipping every 4 frames) and is played at 30 fps. (AVI 1024 kb)

Supplementary Movie 5

In-plane rotation of a doublet polystyrene particle. A doublet particle (~18 μm) is trapped and rotated by a microbubble excited at ~33 kHz and 10 VPP. The movie is captured at 1,000 fps and played at 30 fps. (AVI 388 kb)

Supplementary Movie 6

In-plane rotation of a HeLa cell. HeLa cells are trapped and rotated by a microbubble excited at 106 kHz and 4 VPP. The movie is captured at 1,000 fps and played at 30 fps. (AVI 4779 kb)

Supplementary Movie 7

Tuning rotation axis of an egg of C. elegans. By sweeping the excitation frequency of a 70 μm wide microbubble from 60 to 90 kHz, the rotation axis of an egg of C. elegans is observed. (AVI 3343 kb)

Supplementary Movie 8

Out-of-plane rotation of HeLa cells. HeLa cells are rotated about xaxis using high aspect ratio microbubbles with 10 μm width and 100 μm height. At high aspect ratio, microbubbles generate out-of-plane microstreaming vortices because the oscillations are restricted along the height of the microchannel. (AVI 3836 kb)

Supplementary Movie 9

Decoupling of trapping and rotation of C. elegans. By sweeping the excitation frequency of the microbubbles from 70 to 90 kHz, a C. elegans starts rotating while initially only being trapped. In-plane microstreaming flows are also seen through the debris in the medium. Once the out-of-plane vortices are generated by tuning the frequency, the worm rotates about the x axis. (AVI 1911 kb)

Supplementary Movie 10

Continuous rotation of an L4 stage C. elegans. An L4 stage worm is being rotated by three bubbles excited at ~92.2 kHz and 20 VPP (peak-to-peak). An entire 360° rotation takes about 60 milliseconds. A continuous sine function is used to drive the piezo transducer which yields a continuous rotation. (AVI 9943 kb)

Supplementary Movie 11

Stepwise rotation of an L4 stage C. elegans. Multiple bubbles excited by varying duration of pulses at ~73.9 kHz and 20 VPP (peak-to-peak) are used to rotate an L4 stage C. elegans in a controlled manner. Relatively lower excitation frequencies provide a slower rotational speed for more accurate positional adjustments. Pulse duration varies from 5 milliseconds to 70 milliseconds which directly correlates to changes from smaller to larger angular steps. (AVI 14558 kb)

Supplementary Movie 12

Parallel rotation and positional stability of C. elegans. By designing parallel microchannel and adjusting the inlet and outlet tubing, we achieved better positional stability during and after C. elegans rotation. (AVI 20256 kb)

Rights and permissions

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ahmed, D., Ozcelik, A., Bojanala, N. et al. Rotational manipulation of single cells and organisms using acoustic waves. Nat Commun 7, 11085 (2016). https://doi.org/10.1038/ncomms11085

Download citation

Further reading

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing