Introduction

Ciliates, including Tetrahymena and Paramecium, are powerful unicellular model organisms that have been used to uncover fundamental insights in diverse biological processes from DNA replication to the microtubule cytoskeleton1,2,3. Recently, the ciliate Stentor coeruleus has received renewed interest as a model for studying wound healing, regeneration, habituation and learning in a unicellular system4,5,6,7. Nevertheless, beyond a few select species, ciliate biology has remained largely unexplored, in part due to technical challenges in studying these organisms. Compared with mammalian cells and other popular model systems, the tools available for studying ciliates are much more limited. While fluorescent staining or electron microscopy of fixed ciliates have revealed details of cellular structure and organization, they cannot be used to study dynamic processes in live cells. Manual microsurgery of ciliates, typically performed by hand with a glass microneedle, has long been used to study phenomena such as wound healing and regeneration in Stentor4,8,9,10. However, manual surgery is slow, tedious, and lacks reproducibility. To realize the rich potential in ciliate models, there is a crucial need for advanced live-cell microscopy and microsurgery techniques.

Just like any biological sample (i.e., the cell or organism to be studied), a ciliate sample must be first immobilized to achieve high temporal and spatial resolution in live-cell microscopy and microsurgery. Immobilization is especially challenging for ciliates because of their high motility, powered by cilia distributed throughout the cell surface11. Observations of ciliates using light microscopy can also be challenging because some species exhibit avoidance behavior upon light stimulation in the visible spectrum11. Multiple techniques have been developed to immobilize ciliates and other motile organisms such as C. elegans and various protozoa12,13, but these techniques carry major biological or technical limitations. Chemical and drug treatments have been used to paralyze the sample, but they may be cytotoxic and could disrupt physiological processes4,14,15. Tuning conditions of the external environment such as CO2 levels or temperature have also been used, but they may be similarly disruptive physiologically4,16,17,18. Physical inhibition such as adhering the sample to a substrate, embedding the sample in a gel, and increasing the media viscosity are typically minimally invasive, but sample retrieval can be difficult19,20,21. Another physical inhibition technique involves feeding the sample magnetic particles and using a permanent magnet to hold the ingested particles and thus the sample in place22. While the magnet can be removed quickly to release the immobilization, the ingested magnetic particles can obstruct imaging of the internal details of the sample.

Physical immobilization by mechanical compression has distinct advantages over the aforementioned techniques. If designed properly, mechanical compression is minimally disruptive, can be applied and removed quickly, and allows for simple sample retrieval. Three major approaches to immobilization by mechanical compression have been developed.

A first, relatively simple approach immobilizes samples by compressing them to a fixed thickness between two substrates. The thickness can be set, for example, by microbead spacers or by patterned poly(dimethylsiloxane) (PDMS) structures23,24,25,26. While this approach is simple to use and can be scaled readily to multiple samples, the degree of compression cannot be adjusted dynamically. Therefore, cells or organisms of heterogeneous sizes will not be immobilized to the same extent.

A second, more adaptive approach immobilizes samples using a mechanical microcompressor27,28. In the microcompressor design, two rigid substrates are mounted to threaded parts that can be screwed closer to or farther from each other, thereby controlling the degree of compression to within a few micrometers. The microcompressor was compatible with microscopy and has been modified to incorporate features such as media perfusion. However, the microcompressor requires bulky precision-machined parts to control the compression, which limits its ability to scale to multiple samples. Furthermore, the microcompressor is unlikely to be compatible with microsurgery experiments since the relative rotation of the substrates during device operation could introduce undesirable shear stress and possible damage to the sample.

A third approach immobilizes samples using microfluidic Quake valves29,30,31,32,33,34. The Quake valve design consists of a thin PDMS membrane sandwiched between a control channel and a flow channel containing the sample. Pressurizing the control channel deforms the membrane to compress and immobilize the sample in an adjustable manner. The microfluidic basis of such devices enables high scalability and throughput of experiments. However, conventional Quake valve design immobilizes a sample by pushing it into the corner of a rectangular flow channel. In the corner, the membrane deflection is limited by the channel sidewall, and the cross section of the immobilized sample becomes roughly wedge-shaped. Thus, a conventional Quake valve design is not suitable when a high degree of flatness is required in imaging or manipulating the sample.

In this paper, we aim to address the above limitations by developing a Simple Microfluidic Operating Room for the Examination and Surgery of Stentor coeruleus, referred to as SMORES. The core of the SMORES platform is a microfluidic cage trap comprising a modular PDMS enclosure. The ceiling of the enclosure, containing patterned features, is deformed using Quake valve-based microfluidics to immobilize a sample by mechanical compression. The cage trap serves as an “operating room” to trap, immobilize, and perform cell surgery on Stentor coeruleus as our model organism. Compared with conventional Quake valve design, our design achieves a highly uniform compression across the cell area. The use of a hand-operated 3D-printed pressure rig allows simple control of sample compression from ~ 20 µm to 100 µm. Just like previous compression-based immobilization methods, our approach is minimally disruptive to the cell and is reversible. The operation of the system—loading, immobilization, and retrieval of samples—is simple and fast (typically < 1 min per step). For longitudinal studies, the cage trap retains the sample inside the trap even when the trap is uncompressed. Additionally, it is straightforward to exchange the media inside SMORES. Finally, it is simple to modify the modular design for desired applications. We demonstrate the use of SMORES for confocal imaging of Stentor, laser ablation of the cell surface, and mechanical dissection of the cell into multiple fragments at once.

Results and discussions

Design of the SMORES platform

The main component of the SMORES platform was a microfluidic cage trap equipped with a modular feature (Fig. 1a). We could adapt the platform for a desired application by modifying the design of the modular feature. Here we demonstrate the application of SMORES to immobilize individual cells for microscopy and/or microsurgery (laser ablation or a mechanical multi-way cut) (Fig. 1a). The platform consisted of two PDMS layers—a control layer seated above a flow layer bonded to a glass coverslip (Figs. 1b and 2a). The flow layer contained the cage trap and the cells.

Figure 1
figure 1

Overview of the SMORES platform. (a) Working principle. A motile Stentor cell is loaded into the cage trap of SMORES (inset: empty cage trap). The design of the modular feature (pink arrow) of the cage trap can be modified for the desired application—immobilization, laser ablation, or a multi-way cut. (b) Full workflow of SMORES using Quake valve-based microfluidics. Red arrow indicates flow direction. ΔP is the pressure difference of the control layer relative to the flow layer and is controlled by a 3D-printed pressure rig (see Fig. 2b).

Figure 2
figure 2

Design of the SMORES platform. (a) Fabrication of the SMORES device using soft lithography and a partial curing and bonding method (see Materials and Methods). (b) Arrangement of the SMORES platform, consisting of a control layer seated above a flow layer. Cells and media are introduced into the cage trap, and a 3D-printed pressure rig controls cage trap actuation. (c) Left: Top view of a device filled with food coloring indicating the control layer (yellow) and the flow layer (blue). Regions of overlap appear green. Right: 3D model of the flow layer corresponding to the boxed region at left, viewed from the bottom of the device. The features of the cage trap are shown in the section views. Note that the cross sections in Fig. 1b and 2a correspond to planes A–A and B–B, respectively. Scale bar in inset: 50 µm. (d) Modular feature designs: (i) confining ring, (ii) 3-way cutter, and (iii) 6-way cutter.

Figure 1b shows the workflow of the SMORES platform. The operation of the platform was similar to that of a conventional Quake valve, where pressurization of the control layer deformed the thin ceiling of the flow layer. To load the cells, we lifted the cage trap away from the glass coverslip and then flowed cells into the cage trap by hand (Fig. 1b). We lifted the cage trap by ~ 50 µm from its neutral position so that cells (~ 100 µm in height) were not damaged as they flowed into the cage trap. After we flowed a cell into the cage trap, we lowered the cage trap back to a neutral position to trap the cell. To immobilize the cells for imaging and/or microsurgery, we applied positive pressure to compress the cell (Fig. 1b). After imaging and/or microsurgery, we raised the cage trap slowly away from the cell back to a neutral position. The cell could either be left inside the uncompressed cage trap for observation or be retrieved for analysis.

The SMORES platform was fabricated using conventional soft lithography and a partial curing and bonding method (Fig. 2a and see Materials and Methods). Figure 2b shows the full arrangement of the platform, consisting of a control layer seated above a flow layer. The control layer consisted of a pressure chamber, a damper, an inlet, and an outlet (Fig. 2b). The pressure chamber was positioned directly above the cage trap in the flow layer. To pressurize the control channel and actuate the cage trap, we sealed the control channel outlet with a plug and connected the control channel inlet to a simple, manually controlled pressure rig (Fig. 2b). The pressure rig consisted of a 3D-printed leadscrew setup holding a syringe filled with cell media (Fig. 2b). To deform the cage trap towards or away from the glass coverslip, we applied a positive or negative pressure to the control layer by turning the dial to screw the pressure rig clockwise or counterclockwise, respectively (Figs. 1b and 2b). To absorb any undesirable transient pressure fluctuations, we placed a damper between the pressure rig and the pressure chamber. The damper absorbed pressure changes because it was much larger than the pressure chamber and was the first to deflect when pressure was applied to the control channel. Without the damper, the pressure chamber would be pressurized when the connection tubing was connected or disconnected from the device and could damage the cell inside the cage trap. To provide space for the damper to deflect, we placed a large cavity open to the ambient atmosphere (Patm) in the flow layer directly underneath the damper.

In addition to this large cavity, the flow layer contained a cage trap connected to an inlet and outlet for flowing cells and media (Fig. 2b). The cage trap was formed by 5 components: (1) standoffs, (2) cage wall, (3) modular feature, (4) ceiling pad, and (5) membrane (Fig. 2c and Supplementary Fig. S1). The vertical cage wall enclosed the cage trap and was ~ 130 μm tall, with a thin gap (~ 15 μm) at the bottom due to the standoffs, which were the only features bonded to the glass substrate (Fig. 2c and Supplementary Fig. S1). This gap height (i.e., the standoff height) was chosen to be small enough so that the cells, which were constrained to ~ 100 μm in height by the uncompressed cage trap, could not escape through the gap when the trap was uncompressed (100% trap occupancy at 24 h, n = 32/32 cells). On the other hand, the gap height was large enough so that the standoffs prevented the trap from completely sealing when compressed. Since the deflection of the cage trap was constrained near the standoffs, the space about the standoffs remained open to fluid flow even when the cage trap was compressed. This design was critical because if the cage trap was completely sealed against the glass coverslip, fluid would not be able to flow out of the trap (i.e., the trap volume would remain constant). In this case, further compression of the trap would be impossible, and the immobilization of the cell would be poor.

The ceiling of the cage trap was formed by a modular feature that could be modified depending on experimental needs, a ceiling pad that acted as a proof mass to ensure more uniform compression, and a ~ 100 μm-thick membrane that separated the flow layer from the control layer (Fig. 2c and Supplementary Fig. S1). To facilitate the loading of a cell into the cage trap by hand and avoid unintentional wounding of the cell, we placed bypass channels on both sides of the cage trap (Fig. 2c). The bypass channels increased the total cross-sectional area of the channel to reduce the flow velocity through the cage trap, but they were too small for cells to enter. The bypass channels also enabled the exchange of media in the trap without accidental loss of the cell.

In this work, we tested 3 different modular features (Fig. 2d). For imaging and laser ablation of the cell, we used (i) a confining ring that enhanced cell immobilization. For mechanical dissection of the cell, we combined the confining ring with either (ii) a 3-way cutter or (iii) a 6-way cutter.

Characterization of cage trap compression

We first characterized the degree of compression achieved by SMORES. We controlled the deflection of the cage trap ceiling by manually dialing the leadscrew of the hand-operated pressure rig. Simultaneously, we measured the ceiling deflection using confocal cross sections of a device filled with fluorescein isothiocyanate (FITC) as a contrast dye (Fig. 3a). The profile of the deflected ceiling was roughly a circular arc. The minimum height y of the trap, defined as the distance between the glass and the center of the deflected ceiling (i.e., the arc), decreased from ~ 100 to 20 µm approximately linearly with leadscrew rotation (Fig. 3b). The chord (width) of the arc (~ 800 µm) was > 10 × larger than the height (~ 0–80 µm) of the arc. For this geometry, since the control layer was filled with an incompressible fluid, the linear displacement of the syringe by leadscrew rotation resulted in a linear volume change in the control layer that contributed to the deflection of the ceiling and a linear change in y.

Figure 3
figure 3

Characterization of cage trap compression. (a) Representative confocal images of an uncompressed vs. compressed cage trap showing the deflection of the cage trap ceiling when compressed. (b) Minimum cage trap height y as a function of leadscrew rotation (linear fit, R2 = 0.952). Inset illustration shows the definition of y. Marker shapes correspond to data from independent devices (n = 3 devices). (c) Representative confocal images of a compressed Stentor cell (yellow outline). Cage traps in (a) and (c) were filled with FITC (green) for contrast, and cross sections are indicated by the pink dashed line. (d) Motility tracks of cells inside uncompressed vs. compressed cage traps (n = 3 cells per condition). One representative track per condition is shown in color, and additional tracks are shown in gray. Each track represents 3 min of observation. Cage trap walls are indicated by black outlines. (e) Centroid velocities of cells inside uncompressed vs. compressed cage traps, shown as violin plots overlaid with individual data points (n = 3 cells per condition) (***P < 0.001, two-sample Kolmogorov–Smirnov test).

We then demonstrated that SMORES immobilized Stentor cells successfully (Fig. 3c,d and e). When compressing a cell to immobilize it, we simultaneously monitored the cell to avoid excessive compression and ensure no damage occurred. Damage to the cell appeared in brightfield microscopy as ruptures in the characteristic striped patterns of pigment granules and microtubule ribbons (km fibers) located in the Stentor cortex.

In our early prototypes without the confining ring (i.e., a conventional Quake valve design), compressing the trap would typically push the cell against the cage wall where the ceiling deflection was minimal and non-uniform. We observed that a trapped Stentor cell could swim towards the cage wall and thus escape from the compression within 1–2 min. To prevent this behavior, we added a confining ring (Fig. 2d) which followed the perimeter of the ceiling pad and protruded ~ 45 µm downwards from the bottom surface of the pad (Fig. 2c). The confining ring retained the cell close to the center of the trap and achieved a compression that was both greater and more uniform than that without the confining ring (Fig. 3c). With the confining ring, the height of the compressed cell varied from ~ 30 µm at the center of the trap to ~ 60 µm right inside the confining ring (i.e., a 100% variation relative to the height at the center). This variation was due to the circular profile of the ceiling deflection (Fig. 3c). Despite this variation in height, the bulk of the cell was compressed relatively uniformly to ~ 30 µm (Fig. 3c). Without the confining ring, the height of the cell would be ~ 150 µm at the cage wall (i.e., a 500% variation). The confining ring prevented the cell from escaping from the compression (i.e., into the region between the confining ring and the cage wall) for 45 min (n = 4 cells), and up to 2 h (n = 2 cells). Such extended periods of compression did not compromise cell viability (100% viability 24 h after release, n = 4/4 cells).

To estimate the pressure required to immobilize the cell, we approximated the PDMS membrane as a thin circular membrane with clamped edges35. The loading pressure p is given by Eq. (1):

$$p = \frac{{64D\delta_{max} }}{{r^{4} }}$$
(1)

where max is the maximum membrane deflection, r is the membrane radius, and D is the membrane rigidity, given by Eq. (2):

$$D = \frac{{Et^{3} }}{{12\left( {1 - \nu^{2} } \right)}}$$
(2)

where E is the Young’s modulus, t is the thickness, and ν is the Poisson’s ratio of the membrane. Using δmax = 70 µm, r = 400 µm, E = 1.8 MPa36, t = 100 µm, and ν = 0.537, we estimated that the pressure applied to immobilize a Stentor cell using SMORES is ~ 40 kPa. This pressure (~ 40 kPa) is within the typical range of pressures (0–100 kPa) applied using microfluidic platforms on other, non-motile cell types38.

To quantify the degree of immobilization, we compared the motility of cells in uncompressed vs. compressed devices. Motility tracks of the cells showed that uncompressed cells exhibited high motility, while compressed cells were immobile (Fig. 3d). Further, the mean centroid velocity of compressed cells (3.3 µm/s) was almost 24 × lower than that of uncompressed cells (78.2 µm/s), and the difference between the two velocity distributions was statistically significant (P < 0.001, two-sample Kolmogorov–Smirnov test) (Fig. 3e, Supplementary Fig. S2, and Supplementary Video S1 and S2).

Confocal imaging of live Stentor using SMORES

Because Stentor is highly motile, confocal imaging of a live Stentor cell is impossible without immobilization. Since SMORES successfully immobilized the cell, we could easily acquire confocal z-stacks of the cell in multiple fluorescent channels. As a proof of concept, we acquired a confocal z-stack of an immobilized Stentor cell stained for lipids (DiD and Nile Red) and DNA (Hoechst) (Fig. 4 and Supplementary Video S3). The z-stack took ~ 30 s during which cell motion was not observable at the resolution of our imaging system. The images revealed the macronuclei, intracellular lipids (e.g., individual vesicles), and cell membrane clearly, and are comparable in quality to images obtained in cells immobilized by the microcompressor27,28.

Figure 4
figure 4

Confocal imaging of live Stentor using SMORES. Brightfield, maximum intensity projections, and merged images shown for a representative cell stained for lipids (DiD, magenta; Nile Red, green) and DNA (Hoechst, blue).

Media exchange using SMORES

Next, we demonstrated that SMORES allowed simple exchange of media inside the cage trap while retaining the cell inside. We exchanged the media in 3 steps – (1) we compressed the cell inside the cage trap to a thickness of ~ 30 µm at the center of the trap, (2) flowed the desired media by hand into the flow layer inlet, and finally (3) released the compression on the cell. To retain the cell inside the cage trap during this process and to avoid damaging the cell, it was crucial to compress the trap before flowing the desired media. For a compressed trap, the cage walls sealed against the glass (except in a small region about the standoffs) and thus isolated the contents of the cage trap from the surrounding media. Therefore, when we introduced the desired media into the flow layer, the media flowed through the bypass channels on either side of the sealed cage trap and did not flow through the trap itself. This operation limited the risk of damaging the cell by shear or accidentally pushing the cell out of the trap. Once the desired media fully surrounded the sealed cage trap, we released the compression of the trap. The desired media outside the trap was allowed to mix with the media inside the trap by diffusion. We demonstrated this process by exchanging deionized (DI) water inside the cage trap with a fluorescent dye solution (5 µM FITC in DI water) (Fig. 5a). This experimental setup allowed us to assess the speed of media exchange within the trap. The mean fluorescence intensity inside the cage trap increased to the reference intensity, as measured by the fluorescence intensity of the dye solution in the channel outside the cage trap, within 35 s after we released the compression on the cage trap (Fig. 5b).

Figure 5
figure 5

Media exchange using SMORES. (a) Time series showing the influx of FITC into the cage trap after release of compression. (b) Intensity plot measuring the mean fluorescence intensity inside the cage trap normalized to the reference fluorescence intensity of FITC solution in the channel outside of the cage trap (n = 9 devices). Dashed line indicates normalized reference fluorescent intensity of 1. (c) Centroid velocities of untreated control cells and NiCl2-treated cells inside uncompressed cage traps over time. Data for each condition shown as a violin plot overlaid with 500 representative data points (n = 4 cells per condition) (ns: not significant; ***P < 0.001, two-sample Kolmogorov–Smirnov test with Bonferroni correction for multiple comparisons). Not indicated in plot: Velocities of NiCl2-treated cells at 0 h and 4 h were significantly different (P < 0.001).

As a functional test, we introduced a 15 μM nickel chloride (NiCl2) solution into cage traps containing trapped cells. NiCl2 has been reported to inhibit the ciliary beating in Stentor, Tetrahymena and Paramecium by inhibiting axonemal dynein6,14,39. We measured cell motility for both untreated control cells and NiCl2-treated cells in an uncompressed trap at 0, 2, and 4 h following media exchange. At each time point, NiCl2-treated cells were significantly slower than control cells (P < 0.001, two-sample Kolmogorov–Smirnov test with Bonferroni correction for multiple comparisons) (Fig. 5c). The velocities of NiCl2-treated cells decreased significantly over time (P < 0.001) (Fig. 5c). These results were expected as similar concentrations of NiCl2 have been reported to gradually inhibit ciliary beating in Stentor over the course of ~ 5 h6.

Microsurgery of Stentor using SMORES

Finally, we demonstrate the utility of SMORES for microsurgical operations on Stentor by using different designs of the modular feature. To perform laser ablation of the cell membrane, we used the same modular feature (i.e., a confining ring) as that for immobilizing the cell. We immobilized the cell by compressing it to ~ 30 μm in height and then ablated a user-defined region of interest. The laser ablation resulted in a cell membrane wound, indicated by a region with missing cortical pattern of pigment granules and km fibers (Fig. 6a). After being wounded by laser ablation, the cell appeared to curl over the wound site, possibly as part of its wound response (Fig. 6a). A similar wound response has been observed in bisected Stentor cells, where the cell fragments contract or curl about the bisection wound6.

Figure 6
figure 6

Microsurgery of Stentor using SMORES. (a) Laser ablation using the confining ring to immobilize the cell. Dashed line (magenta) indicates membrane wound from laser ablation. Note that the laser ablation generates cell debris (blue arrow) corresponding to the shape of the ablated region. Mechanical dissection of the cell into (b) 3 fragments using the 3-way cutter or (c) 6 fragments using the 6-way cutter.

Without the immobilization provided by SMORES, the cell would swim away or contract rapidly to avoid the high-power laser used for ablation. The resulting wound, if inflicted at all, would be limited and would not correspond to the desired region of interest. Crucially, because SMORES released the compression slowly by lifting the cage trap away from the cell at a rate of ~ 5 µm/second, we avoided further damage to the laser-ablated cell. Our design presents a major advantage over previous compression-based immobilization methods such as the microcompressor, which involves rotating a glass slide in contact with the cell27,28. We found that the microcompressor introduced high shear stress and further damaged the cell as we released the cell after ablation (Supplementary Video S4). In early attempts, we had investigated using a simple microchannel of gradually decreasing height to confine the cell. This approach had similar issues as the microcompressor, as flowing a laser-ablated cell while it was highly compressed resulted in high shear stress and further damaged the cell.

In addition to laser ablation of the cell, we further demonstrated the utility of SMORES for the mechanical dissection of the cell by modifying the design of the modular feature to include a 3-way or 6-way cutter (Fig. 6b,c). Our objective was to demonstrate SMORES’ capability to perform complex cuts, a task challenging to achieve with conventional manual cutting using glass needles. We performed mechanical dissection by lowering the ceiling of the cage trap until the cutter contacted the glass substrate, effectively dissecting a trapped cell into three or six fragments simultaneously in ~ 5 s (Fig. 6b,c). Similar to the SMORES operation for laser ablation, we could release the pressure in ~ 2–5 s and retain the cells for observation within the cage trap. Alternatively, we could apply a flow in the flow layer to retrieve the dissected cells.

The working principle of our 3-way and 6-way cutters was similar to that of prior studies, in which a Quake valve lowered a PDMS pillar to create controlled wounds (i.e., gaps) in a cell monolayer40 or to perform axotomy of neurons41. However, considering the high motility of Stentor, the prior design would fail to wound Stentor as the cell would easily avoid a standalone PDMS pillar. Furthermore, our 3-way and 6-way cutters achieved more complex wounding patterns compared with the simple gaps used in prior designs.

Conclusions

Here we have presented a Simple Microfluidic Operating Room for the Examination and Surgery of Stentor coeruleus (SMORES). Compared with conventional Quake valve designs, our design achieves a more effective and uniform compression of a highly motile cell for up to 2 h. The compression is reversible and minimally disruptive to the cell. The ease of media exchange allows long-term trapping and observation of a single cell, potentially over days or weeks. The ability to introduce drugs to the trapped cell and perform live cell imaging enables pharmacokinetic studies. Finally, the ability to perform laser ablation or mechanical dissection of a trapped cell allows one to monitor wound healing and regeneration processes not possible by hand surgery.

We designed our SMORES platform so that it can be used in laboratories without microfluidic infrastructure. Specifically, instead of using scientific syringe pumps, we opted for the use of a manually controlled 3D-printed pressure rig to control the compression on the cells. As the microfluidic channels of the SMORES platform occupies a total footprint of approximately 10 mm × 20 mm, the system has potential to be scaled to multiple traps on a single microfluidic chip in future work. Also, the device could be improved to further increase the uniformity of cell compression by further optimizing the design of the ceiling of the cage trap. The pressure applied by SMORES (~ 40 kPa) to immobilize the cell did not affect cell viability. However, further study is needed to elucidate the mechanotransduction pathways in Stentor. Because Stentor is typically cultured at room temperature, no heating elements were required in our system. If desired, it is possible to incorporate heating elements such as a convective heat exchanger to facilitate the thermal regulation of the sample42. Although we only tested our device on Stentor coeruleus, we believe that the design is directly applicable to other highly motile organisms, including other ciliates, and has the capacity to enable the investigation of biological processes previously not possible such as mechanotransduction and subcellular omics.

Materials and methods

Device fabrication

Microfluidic devices. Microfluidic devices were made in poly(dimethylsiloxane) (PDMS) (Sylgard-184, Dow) using standard soft lithography techniques43,44. We fabricated master molds in SU-8 2025 and 2050 resist (Kayaku Advanced Materials): one mold each for the flow layer and the control layer. The flow layer required a multilayer mold containing resist features of multiple heights. We bonded the assembled PDMS devices on #1.5 coverslips with the flow layer seated directly against the coverslip to facilitate confocal imaging and laser ablation. This arrangement posed constraints for the PDMS replication process, as described below. The flow layer consisted of the cage trap whose ceiling acted as a deformable membrane (thickness ~ 100 μm). During the fabrication of the PDMS replica on the mold for the flow layer, the presence of tall (up to ~ 150 μm) resist features limited the uniformity or “flatness” of the top surface of the PDMS. This non-uniformity limited the use of conventional bonding by oxygen plasma to bond the flow layer to the control layer. Instead, we used a partial curing and bonding process45. The PDMS for all layers was formed using a base:crosslinker ratio of 10:1. The thickness of the PDMS on the mold for the flow layer was ~ 100 μm above the tallest resist feature to form a PDMS membrane. The thickness of the PDMS on the mold for the control layer was ~ 0.5 cm. After degassing, the PDMS on both molds was allowed to partially cure for ~ 2 h at 70 °C. Next, the thick PDMS on the mold for the control layer was cut out, aligned, and placed on top of the thin PDMS on the mold for the flow layer. The two layers were then allowed to fully cure and crosslink together. Finally, the crosslinked control and flow layers were cut from the mold for the flow layer and then hole-punched and bonded to a #1.5 coverslip by oxygen plasma. See Fig. 2a for schematic diagrams of the microfluidic device fabrication.

3D-printed pressure rig. The 3D-printed pressure rig was designed in SolidWorks (Dassault Systèmes) and fabricated using Clear Resin on a Formlabs Form3 printer (Formlabs). An M3 × 40 bolt and M3 nuts were used as the leadscrew. The pressure rig was designed for a 3 mL syringe (Monoject).

Cell culture

Stentor coeruleus cells (131598, Carolina Biological Supply) were cultured in Pasteurized Spring Water (PSW) (132458, Carolina Biological Supply) in the dark at room temperature and fed Chlamydomonas algae (152040, Carolina Biological Supply) every 2 days, as described previously6. All cells used for experiments were collected on the second day post-feeding.

Confocal microscopy

Confocal microscopy was performed on an inverted confocal scanning microscope (Zeiss, LSM 780) using Zen Black software (Zeiss).

Compression measurements

To visualize the compression of the cage trap, the cage trap was filled with 5 µM FITC in Pasteurized Spring Water (PSW) and imaged using a 488 nm laser and a 10X objective (NA 0.3). The pressure in the control layer was increased by advancing the leadscrew in the clockwise direction on the pressure rig until the cage trap just started to deform, and then the leadscrew was backed out slightly. This leadscrew position was marked as the initial leadscrew position. Defining the initial leadscrew position in this manner ensured the dampers were fully deformed before the start of the measurements, as the large dampers were designed to absorb initial pressure changes from the pressure rig. Consequently, further increase in pressure would contribute to deforming the cage trap only. The leadscrew was then incrementally advanced from the initial position to increase the cage trap deformation, and a z-stack of the cage trap was taken at each increment. Finally, the cage trap height was measured from each z-stack cross section using FIJI.

Live cell staining

A 1 mg/mL (3.14 mM) Nile Red stock solution was prepared by dissolving 1 mg of Nile Red (ThermoFisher, N1142) in 1 mL of DMSO. A 1 mM Vybrant DiD stock solution (ThermoFisher, V22887) and a 20 mM Hoechst 33342 stock solution (ThermoFisher, 62249) were purchased directly. Cells were first stained in 2 µg/mL (6.28 µM) Nile Red in PSW for 20 min, then washed in PSW. Cells were then stained in 2.5 µM DiD and 20 µM Hoechst 33342 in PSW for 20 min, then washed in 20 µM Hoechst 33342 in PSW. Finally, cells in 20 µM Hoechst 33342 in PSW were loaded into the cage traps and imaged immediately. We found that Hoechst did not stain well under the conditions tested, so we opted to leave it in the solution during imaging to maximize the fluorescence signal.

Laser ablation

Laser ablation was performed on an inverted confocal scanning microscope (Zeiss, LSM 780) using Zen Black software (Zeiss). Trapped cells were located and imaged using a 20X objective (NA 0.8), a 633 nm laser, and a transmitted light PMT (T-PMT) setup. After the cell was sufficiently compressed and immobilized, a region of interest was drawn, and ablation was performed using a 20X objective (NA 0.8) and a 561 nm continuous wave laser at 25% power (4.6 μW) and 25 μs exposure per pixel.

Data analysis

Cell centroids were extracted using OpenCV. Fluorescence intensity measurements were performed using FIJI. Statistical analyses were performed using SciPy, statsmodels, and NumPy in Python. Details of the statistical tests and sample size are provided in the corresponding text and figure legends.