Letter | Published:

Wavelength-scale errors in optical localization due to spin–orbit coupling of light

Nature Physicsvolume 15pages1721 (2019) | Download Citation


Far-field optical imaging techniques allow the determination of the position of point-like emitters and scatterers1,2,3. Although the optical wavelength sets a fundamental limit to the image resolution of unknown objects, the position of an individual emitter can in principle be estimated from the image with arbitrary precision. This is used, for example, in the determination of the position of stars4 or in optical super-resolution microscopy5. Furthermore, precise position determination is an experimental prerequisite for the manipulation and measurement of individual quantum systems, such as atoms, ions and solid-state-based quantum emitters6,7,8. Here we demonstrate that spin–orbit coupling of light in the emission of elliptically polarized emitters can lead to systematic, wavelength-scale errors in the estimation of the emitter’s position. Imaging a single trapped atom as well as a single sub-wavelength-diameter gold nanoparticle, we demonstrate a shift between the emitters’ measured and actual positions, which is comparable to the optical wavelength. For certain settings, the expected shift can become arbitrarily large. Beyond optical imaging techniques, our findings could be relevant for the localization of objects using any type of wave that carries orbital angular momentum relative to the emitter’s position with a component orthogonal to the direction of observation.


A diffraction-limited imaging system with aperture diameter D has an angular resolution λ/D, where λ is the wavelength of the imaging light. Objects with smaller angular diameter cannot be resolved and produce an image given by the point-spread function (PSF) of the optical system. In spite of this limit, fitting the PSF to the image allows one to estimate its position with a precision limited only by the image’s signal-to-noise ratio9. The central assumption of this method is that the positions of the emitters in the object plane correspond to the centroid of the PSF measured in the image plane, provided that the optical system is focused.

It is known that the centroid of the image can be affected by imperfect focusing when the emission pattern of the object is anisotropic, as for a linear dipole. Depending on the orientation of the latter, this may lead to lateral shifts of a few tens of nanometres, that is, much smaller than the diffraction limit10,11. The resulting localization error can be reduced using polarization analysis12,13,14 or dedicated PSF fitting10,15,16,17, and vanishes for a focused image. Localization errors of comparable magnitude can occur when the emission pattern is distorted by near-field coupling to a nanoantenna18,19.

Here, we show that methods to estimate the position of emitters can be subject to large fundamental systematic errors when imaging elliptically polarized emitters, as a consequence of spin–orbit coupling in the emitted light field. These errors are present even for ideal, that is, diffraction-limited aberration-free far-field imaging systems. Imaging a single trapped atomic ion as well as a single gold nanoparticle that emits light with different elliptical polarizations, we demonstrate a wavelength-scale shift between the measured and actual positions of the emitter. For a wide range of polarizations, this shift is nearly independent of the numerical aperture. However, it can become arbitrarily large for certain polarizations and vanishing numerical aperture. These findings reveal that, even for small numerical apertures, the paraxial approximation is fundamentally inadequate in the context of the centroid estimation method.

To understand the physical origin of the image shift, let us consider a circularly polarized dipole emitter rotating in the xy plane, at the centre \({\cal O}\) of the coordinate system. In this case, the total angular momentum carried by an emitted photon with respect to \({\cal O}\) is ±ħez, where ± corresponds to right-handed (σ+) or left-handed (σ) polarization of the dipole relative to the z axis, respectively. This total angular momentum can be decomposed into spin and orbital angular momentum, represented by the operators \(\hat S_z\) and \(\hat L_z\), respectively. The spin and angular momentum components of the dipole field are coupled and their expectation values for a σ±-polarized dipole are

$$\left\langle {\hat S_z} \right\rangle = \pm \hbar \frac{{2{\kern 1pt} {\mathrm{cos}}^2\theta }}{{1 + {\mathrm{cos}}^2\theta }},\quad \left\langle {\hat L_z} \right\rangle = \pm \hbar \frac{{{\mathrm{sin}}^2\theta }}{{1 + {\mathrm{cos}}^2\theta }}$$

where θ is the angle between the z axis and the direction of observation20,21. In the xy plane (θ = 90°), the photons carry exclusively orbital angular momentum with expectation value ±ħ, while the spin angular momentum vanishes, corresponding to linear polarization. This is an example of spin–orbit coupling of light22, which gives rise to intriguing phenomena such as the spin-Hall effect of light23,24 and chiral interactions between light and matter25. For the circularly polarized dipole field, orbital angular momentum manifests as spiral wavefronts in the xy plane (see Methods). Hence, the local wavevectors are tilted with respect to the radial direction (Fig. 1) and the linear momentum per photon has an azimuthal component with expectation value \(\left\langle {\hat p_\phi (r)} \right\rangle = \left\langle {\hat L_z} \right\rangle /r = \pm \hbar / r\). Due to this tilt, the photons seem to originate from a position that is offset from the emitter21,26, a fact already predicted by Charles G. Darwin more than 80 years ago27.

Fig. 1: Polarization-dependent displacement.
Fig. 1

A σ+ rotating dipole located at \({\cal O}\) emits spiral wavefronts in the equatorial xy plane, which are collimated by a lens with focal length f centred on the x axis and focused on the dipole. The wavefronts passing through the aperture of the lens have a mean wavevector \(\left\langle {\bf{k}} \right\rangle\) tilted by an angle αtilt with respect to the x axis, which shifts the intensity distribution by \(\left\langle y \right\rangle\) after a propagation length d. This shift originates from an orbital angular momentum of ħ per photon and results in an apparent displacement Δy = −λ/2π of the emitter (see main text). For a σ emission the shift occurs in the opposite direction, since the wavefronts spiral in the opposite way. For elliptically polarized dipoles, even lager shifts and larger tilts of the wavefronts can arise, see Supplementary Fig. 1.

To quantify this shift for a typical far-field imaging system, we consider a circularly polarized dipole emitter located at the front focal point of a lens with focal length f, centred on the x axis. The lens collimates the light and changes its wavevector distribution. However, the mean wavevector \(\left\langle {\bf{k}} \right\rangle\) averaged over the aperture is conserved and the collimated light propagates at an angle

$$\alpha _{{\mathrm{tilt}}} = \frac{{\left\langle {\hat p_\phi } \right\rangle _A}}{{\hbar k}} \simeq \pm \frac{\lambda }{{2\uppi f}}$$

with respect to the optical axis. Here, \(\left\langle \cdot \right\rangle _A\) denotes the expectation value per photon within the aperture A of the lens. The centroid of the intensity distribution at a screen placed at a distance d behind the lens is shifted in the y direction by \(\left\langle y \right\rangle = \alpha _{{\mathrm{tilt}}}d\) (Fig. 1) and the apparent y position of the dipole in the object plane is shifted by

$${\mathrm{\Delta }}y = - \frac{f}{d}\left\langle y \right\rangle = \mp \frac{\lambda }{{2\uppi }}$$

This expression holds for any imaging system, replacing f/d by the magnification factor of the system. To summarize, the light emitted by a circularly polarized σ± dipole carries orbital angular momentum due to the optical spin–orbit interaction. When imaging in the plane of polarization of the dipole, this gives rise to a λ/(2π) shift of the apparent position of the emitter.

We now generalize the above for an elliptically polarized emitter oscillating in the xy plane. Its polarization state can be written as a superposition of σ+- and σ-polarizations \(\left| \psi \right\rangle = \alpha \left| {\sigma ^ + } \right\rangle + \beta \left| {\sigma ^ - } \right\rangle\), with \(\left| \alpha \right|^2 + \left| \beta \right|^2 = 1\). For a small numerical aperture \({\mathrm{NA}} = D{\mathrm{/}}(2f) \ll 1\), the shift of the apparent position of the emitter is (see Methods)

$${\mathrm{\Delta }}y = - \frac{\lambda }{{2\uppi }} \frac{{\Re (\mathit{\epsilon} )}}{{1 + {\mathrm{NA}}^2\left| \mathit{\epsilon} \right|^2{/}2}}$$

where the dipole polarization ratio, \(\mathit{\epsilon}\) = (α + β)/(α − β), is in general complex and \(\Re ( \cdot )\) denotes the real value. For σ+-polarization (σ-polarization) \(\mathit{\epsilon} = + 1\) \(\left( {\mathit{\epsilon} = - 1} \right)\) and for linear polarization along the y axis (x axis) \(\mathit{\epsilon} = 0\) \((\mathit{\epsilon} = \infty )\). For circular polarization and \({\mathrm{NA}} \ll 1\) we recover the λ/(2π) shift derived above. When the axes of the polarization ellipse coincide with the x and y axes, ϵ is real and the shift is given by

$${\mathrm{\Delta }}y \simeq - \mathit{\epsilon} \frac{\lambda }{{2\uppi }}$$

as long as \(\left| \mathit{\epsilon} \right| \ll 1{\mathrm{/NA}}\). Outside of this linear regime, the shift reaches a maximum \({\mathrm{\Delta }}y_{{\mathrm{max}}} = \mp \lambda {\mathrm{/}}\left( {\sqrt 8 \uppi {\mathrm{NA}}} \right)\) for \(\mathit{\epsilon }= \pm \sqrt 2 /{\mathrm{NA}}\). Remarkably, this implies that the shift of the apparent position of the emitter can take arbitrarily large positive and negative values for small numerical apertures. For example, with NA = 0.23, the distance between the two extremal shifts is as large as the optical wavelength λ. These large shifts are reached for \(\mathit{\epsilon} = \pm 6.3\), that is, when the polarization of the dipole is almost linear along the optical axis of the imaging system. In this case, the corresponding expectation values of the local orbital angular momentum per photon at the aperture significantly exceed ħ, the total angular momentum per emitted photon. Such ‘supermomentum’28 is an example of weak value amplification common to structured optical fields, in which the local expectation value of an operator can take values outside its eigenspectrum where the field is weak29,30. We note that there is a close connection between the observed weak value amplification and the appearance of momentum vortices in the emitted light field. This connection is shown in Supplementary Fig. 3 which plots the field distribution of the emitted light for different polarization states of the emitter. The plots also provide a graphical illustration for the polarization ratio \(\mathit{\epsilon}\), which yields the maximum shift of the apparent position. This maximum shift is reached once the momentum vortices enter the field collected by the imaging lens. The centroid determination can be interpreted as a measurement of the weak value of the photons’ orbital angular momentum (see Methods). Finally, we note that the predicted shifts also occur for large numerical apertures and that equation (5) remains approximately valid provided that \(\left| \mathit{\epsilon} \right|\) 1 (see Methods).

We study the predicted shifts by imaging a single atom—a fundamental quantum emitter—and a single sub-wavelength-scale nanoparticle. In the first experiment, we confine a 138Ba+ atomic ion in a Paul trap and image fluorescence from the dipole transition at λ1 = 493.41 nm (Fig. 2a) using an imaging system with magnification Ma = 5.40(7), where the number in parentheses respresents the 1 s.d. error, and NA = 0.40 (see Methods). A bandpass filter and a polarizer are used to collect light selectively from one of the spontaneous decay channels of the excited state, corresponding to the emission from either a σ+ or a σ dipole (see Methods).

Fig. 2: Experimental set-ups.
Fig. 2

a, A 138Ba+ ion is confined in a linear Paul trap. A magnetic field B along \(\hat z\) defines the quantization axis and the rotation axis of the dipoles. Fluorescence light is collected in the \(\hat x\) direction by an in-vacuum objective (L1: focal length, 25 mm; NA, 0.40), and a lens (L2: focal length, 150 mm) forms a focus on an intensified charge-coupled device camera (ICCD). A polarization beamsplitter (PBS) filters out photons with polarization parallel to the quantization axis (π-polarized photons), while a bandpass filter (BP) selects photons with wavelength 493 ± 1 nm. b, A gold nanosphere is located in the gap between two solid immersion lenses, filled with index-matching oil to prevent reflections. The particle scatters light alternately from a reference beam with fixed linear polarization and a measurement beam whose polarization is adjusted using half-wave (HWP) and quarter-wave (QWP) plates. The scattered light is collected by a microscope objective and imaged onto a CCD camera.

We estimate the emitter’s position from each image by fitting a two-dimensional (2D) Gaussian function, which is a suitable approximation to the PSF in the measured regime31 (see Methods). Figure 3a–c shows the results for a total measurement time of 3 h. We observe a displacement between the σ+ and σ emissions of 158(4) nm in the object plane, in agreement with the expected value λ1/π = 157.1 nm.

Fig. 3: Apparent displacement of the emitters.
Fig. 3

a,c, Measured images (colour scale normalized to maximum pixel count rate) of a single atom for the σ and σ+ transitions. Blue lines and blue points indicate the centroid of the image obtained by a 2D Gaussian fit to the data. The orange dashed circle represents the 1σ width. b, Magnification of the centre of images a,c. The two blue points show the centroid position of the fitted σ (upper point) and σ+ (lower point) images. d, Vertical cross-section of the Gaussian fits for σ+ (green dashed curve, left axis) and σ (red dashed curve, left axis) polarizations. The orange curve shows the difference of both fits (right axis). e, Measured images of the nanoparticle (colour scale normalized to maximum pixel count rate) for \(\mathit{\epsilon} = \pm 2.1\) and \(\mathit{\epsilon} = 0\) for NA = 0.41. The white cross indicates the position of the nanoparticle obtained from the reference image. The dashed circle with a diameter of 500 nm indicates the 1σ width of the image obtained from a Gaussian fit and is centred around the apparent position of the nanoparticle. f, Relative displacement of the image of the particle as a function of \(\mathit{\epsilon}\), measured for two different NAs. Error bars indicate the standard error of the mean of the 125 individual position measurements for each data point (see Methods). Dashed curves are the theoretical predictions of equation (4) and solid curves are the displacements obtained by simulations of the image process taking into account that the centroids of the images are obtained from a Gaussian fit (see Methods). The dashed grey lines show the case of circularly polarized emitters.

As it is demanding to generate an arbitrarily polarized emission from a single atom, we extended the study to the case of a general elliptical polarization in a separate experiment where we imaged the light scattered by a single sub-wavelength-sized spherical gold nanoparticle. Such particles are used as labelling agents for super-resolution microscopy in biological research32,33. Being a spherically symmetric emitter, the polarization of a nanoparticle’s dipole always coincides with the polarization of the illuminating field, which can be controlled precisely. We place a 100-nm-diameter gold nanoparticle in the centre of a glass sphere with refractive index n = 1.46 by depositing it on an optical nanofibre34 and surrounding it by two fused-silica 2.5-mm-radius hemispherical solid immersion lenses. The ~200 μm gap between the lenses was filled with index-matching oil to prevent any reflection near the particle from either the nanofibre or the lenses. The nanoparticle was illuminated by a laser beam (vacuum wavelength λ2 = 685 nm) with adjustable polarization and the scattered light was imaged onto a CCD camera through the sphere and a microscope (Fig. 2b). To test the dependence of the position shift on the NA, two different microscope objectives were used with the same nominal magnification but different numerical apertures, resulting in NA = 0.41 and NA = 0.61 when including the silica sphere, and magnifications 21.9(2) and 20.1(1), respectively. The apparent displacement of the nanoparticle was measured by fitting a 2D Gaussian function to its image (see Methods), using, alternately, the beam with adjustable polarization and a linearly polarized reference beam. The measurements, averaged over 125 individual realizations for each polarization setting, are shown in Fig. 3. For \(\left| \mathit{\epsilon} \right| < 2\), within our experimental errors, we observe a very good agreement of our measurements with the expected linear increase of the displacement with \(\mathit{\epsilon}\), independent of the numerical aperture. For larger \(\left| \mathit{\epsilon} \right|\), the linear approximation is not valid and the experimental data follow approximately the theoretical prediction from equation (4) (dashed lines). The apparent positions of the nanoparticle imaged with right and left circular polarizations \(\left( {\mathit{\epsilon} = \pm 1} \right)\) are displaced relative to each other by 145(6) nm for NA = 0.41 and 146(4) nm for NA = 0.61, in agreement with the expected value \(2{\mathrm{\Delta}}y=\tilde\lambda_2{\mathrm{/}}\uppi\approx150{\kern1pt}\) nm, where \(\tilde \lambda _2 = \lambda _2{\mathrm{/}}n\) is the laser wavelength in the index-matching oil. The displacement increases for larger values of \(\left| \mathit{\epsilon} \right|\), and the total displacement between counter-rotating elliptical polarizations reaches 430(7) nm \(\left( { \simeq \tilde \lambda _2} \right)\) for \(\mathit{\epsilon} = \pm 5.67\), a shift four times larger than the diameter of the gold nanoparticle. To verify that focusing errors are not the origin of the effect, we slightly defocused our imaging optics and observed that, in the measured range, the shifts do not depend on the distance of the particle to the focal plane (see Methods).

Our findings may affect super-resolution microscopy techniques. The maximum systematic shift due to dipole ellipticity is proportional to the PSF size, which is up to two orders of magnitude larger than the resolution achieved by super-resolution microscopy35,36. For instance, the determination of the position of an emitter with NA = 1, at a wavelength of λ ≈ 628 nm, with an accuracy of 1 nm, requires the scattered light to be more than 99.99% linearly polarized (\(\left| {\Re (\mathit{\epsilon} )} \right| < 0.01\), see Supplementary Information). For larger \(\mathit{\epsilon}\), an accuracy of, for example, 1 nm could still be reached by employing an algorithm that not only uses position but also polarization of the dipole as fit parameters for the recorded PSF. However, to reach the necessary signal-to-noise ratio, this higher-dimensional fit requires one to increase the light-collection time by more than four orders of magnitude compared to the case of an optimally coupled linear dipole (Supplementary Fig. 4d).

On the positive side, the polarization-dependent shift could be used, for example, in arrays of optically trapped particles37, where the apparent location of each particle would give access to the local polarization of an inhomogeneous exciting field; conversely, in the case of a homogeneous exciting field, the shift would allow us to sense local physical parameters affecting the polarizability of the particles, such as the direction of the magnetic field. The demonstrated effect is relevant beyond optical imaging, as it will occur for any kind of wave carrying transverse orbital angular momentum. Thus, it may affect the localization of remote objects imaged with radar or sonar techniques38,39, or even alter the apparent position of astronomical objects detected through their emission of gravitational waves40,41.


Momentum and wavefronts of the radiated field

The electric field emitted by an optical dipole located at the origin (r = 0) that oscillates with angular frequency ω is given by

$${\bf{E}}({\bf{r}},t) = - \frac{{\omega ^2}}{{4\pi \mathit{\epsilon} _0c^2}}\frac{{e^{i(kr - \omega t)}}}{{r^3}}({\bf{r}} \times {\bf{\mu}}) \times {\bf{r}}$$

in the far field \(\left( {\left| {\bf{r}} \right| \gg \lambda } \right)\), where μ = μeμ is the complex vector amplitude of the electrical dipole and k = 2π, where λ is the wavelength of the emitted light. The optical momentum density in the field can be defined as the Poynting vector29

$${\bf{P}} = \frac{1}{2}{\mathrm{Re}}({\bf{E}}^ \ast \times {\bf{H}})$$

The momentum density can be divided into two components that arise from the orbital and spin angular momentum of the field

$${\bf{p}}_{{\mathrm{orb}}} = \frac{{c^2\mathit{\epsilon} _0}}{{2\omega }}{\mathrm{Im}}\left( {{\bf{E}}^ \ast \cdot \nabla {\bf{E}}} \right)$$
$${\bf{p}}_{{\mathrm{spin}}} = \frac{{c^2\mathit{\epsilon} _0}}{{4\omega }}\nabla \times {\mathrm{Im}}\left( {{\bf{E}}^ \ast {\bf{E}}} \right){\kern 1pt}$$

where E indicates the vector gradient. From equations (6) and (8) it is possible to derive an expression for the wavefronts, that is, the surfaces normal to porb. In general, the wavefronts of elliptical dipoles in the xy plane are kinky spirals given by

$$r(\phi ) = \frac{1}{k}\left( {{\mathrm{arctan}}\left[ {\mathit{\epsilon} \,{\mathrm{tan}}\left( \phi \right)} \right] + \omega t} \right) + {\mathrm{const}}.$$

For a linearly polarized dipole \((\mathit{\epsilon} = 0)\), that is, a dipole with zero expectation value for its angular momentum, the wavefronts reduce to circles given by \(r_{{\mathrm{wf}}} = {\textstyle{{\omega t} \over k}} + {\mathrm{const}}.\), whereas for a σ± \(\left( {\mathit{\epsilon} = \pm 1} \right)\) polarized dipole that radiates waves with total angular momentum of ±ħ per photon with respect to the z axis, the wavefronts in the xy plane are given by

$$r_ \pm (\phi ) = \frac{{ \mp \phi + \omega t}}{k} + {\mathrm{const}}.$$

This corresponds to an Archimedean spiral rotating around the z axis, with the same rotation sense as the dipole. Supplementary Fig. 1 shows an example of the wavefronts of an elliptical dipole in comparison with the circular case.

Angular momentum and imaging

According to equation (8) the local orbital angular momentum can be calculated by applying the operator

$$\widehat {\bf{L}} = {\bf{r}} \times \widehat {\bf{p}}$$

on the single-photon wavefunction, where \(\widehat {\bf{p}} = - i\hbar \nabla\) is the orbital momentum density operator. The local orbital angular momentum per photon can be measured by sending the light through an aperture at position r0. We align the z axis with the axis defined by the transverse angular momentum and define the optical axis as the x- axis. The expectation value of the transverse linear momentum component \(\left\langle {\hat p_y^w} \right\rangle\) per photon at the position of the aperture is given by the displacement \(\left\langle y \right\rangle\) of the centre of mass of the far-field image from the optical axis ex at distance d from the aperture. The relation between angular momentum and displacement is given by

$$\left\langle y \right\rangle = \frac{d}{{\hbar k}}\left\langle {\hat p_y^w} \right\rangle = \frac{d}{{\hbar k}}\frac{1}{{r_0}}\left\langle {\hat L_z^w} \right\rangle$$

This measurement can be interpreted in the framework of weak measurements, where the centre of mass in the image plane is proportional to the weak value of the photons’ orbital angular momentum (or the transverse linear momentum) at the aperture, which are given at the position of the first lens by29

$$\left\langle {\hat L_z^w} \right\rangle = r_0 \left\langle {\hat p_y^w} \right\rangle = r_0 \;\frac{{\left\langle {{\tilde{\mathrm \Psi }}_{{\mathrm{post}}}} \right|\hat p_y\left| {\mathrm{\Psi }} \right\rangle }}{{\left\langle {{\tilde{\mathrm \Psi }}_{{\mathrm{post}}}{\mathrm{|\Psi }}} \right\rangle }}{\kern 1pt}$$

where \(\left| {\mathrm{\Psi }} \right\rangle\) and \(\left| {{\tilde{\mathrm \Psi }}_{{\mathrm{post}}}} \right\rangle\) are the initial wavefunction and the part of the wavefunction that passes the aperture (the post-selected state), respectively.

In other words, the orbital angular momentum components transverse to the optical axis result in a transverse linear momentum at the aperture that leads in turn to a displacement of the centre of mass of the diffracted beam in the far field. The local angular momentum per photon can exceed ħ where the field is weak (so-called ‘supermomentum’)28.

Calculation of the image centroid

To obtain the displacement of the centroid of the image, we start with the above relation between angular momentum and transverse linear momentum. The considered imaging system consists of an objective with focal length f and aperture diameter D located at a distance f from the emitter. The electric fields of the three elementary dipoles π, σ+ and σ at the objective are, for small aperture \(\left( {D \ll f} \right)\) and up to a common normalization constant, given by

$${\tilde{\mathrm \Psi }}_\pi (\rho ,\phi ) = \frac{1}{f}{\bf{e}}_{\boldsymbol{z}}e^{i\varphi }$$
$${\tilde{\mathrm \Psi }}_{\sigma ^ \pm }(\rho ,\phi ) = \frac{1}{{\sqrt 2 }}\left( { \pm \frac{i}{f}{\bf{e}}_y + \frac{\rho }{{f^2}}{\bf{e}}_{\mathrm{\rho}} } \right)e^{i\varphi }$$

where ρ and ϕ (y and z) are polar (Cartesian) coordinates in the aperture plane, ex, ey, ez and eρ are the unit vectors in the respective direction, \(\varphi = k\sqrt {\rho ^2 + f^2}\). Since the emitter is in the focal plane of the objective, the latter applies the transformation e on the light and removes the phase factor in equations (15) and (16), which we drop in the following. As a consequence, the phase fronts are transformed into plane waves while the average wavevector and the average transverse momentum are conserved. Measuring the displacement of the waveform’s centre of mass from the optical axis \(\left\langle q \right\rangle\) at distance d from the objective \(\left( {d \gg D} \right)\) then corresponds to a measurement of the expectation value of the transverse angular momentum component per photon \(\left\langle {\hat L_z^w} \right\rangle\) or the linear transverse momentum component \(\left\langle {\hat p_q^w} \right\rangle\) of the photons at the position of the aperture where q {y, z}. The actions of the momentum operators on the wave are

$$\hat p_q{\tilde{\mathrm \Psi }}_{\sigma ^ \pm } = - \frac{{i\hbar }}{{f^2\sqrt 2 }}{\bf{e}}_q$$

as well as \(\hat p_q{\tilde{\mathrm \Psi }}_\pi = 0\). Considering the general case of a photon that originates from a superposition of σ+ and σ emission, we can calculate the weak value in equation (14) and obtain

$$\left\langle {\hat p_y^w} \right\rangle _r = \frac{\hbar }{f}\frac{{\Re (\mathit{\epsilon} )}}{{1 + \left| \mathit{\epsilon} \right|^2{\mathrm{NA}}^2 / 2}}$$
$$\left\langle {\hat p_z^w} \right\rangle _r = 0$$

where we define the numerical aperture as NA = D/(2f). We note that, in general, the expectation values \(\left\langle {\hat p_q^w} \right\rangle\) are complex as \(\mathit{\epsilon}\) can be a complex number. Since only the real part of the expectation values corresponds to a displacement of the image centroid, equations (18) and (19) only give the real part of the expectation \(\left\langle {\hat p_q^w} \right\rangle\), which we denote by \(\langle \cdot \rangle _r\).

In a microscopy set-up, the image is not formed at infinity, but a second lens with focal length f′, which we assume to be at a distance f′ from the aperture, is used to form an image at distance 2f′ from the aperture. In this case, the expected displacement is obtained by replacing d by f′. For the expected displacement on the screen this finally yields

$$\left\langle {\hat y} \right\rangle = \frac{1}{{\hbar k}}\frac{{f^\prime }}{f}\left\langle {\hat L_y^w} \right\rangle = \frac{\lambda }{{2\pi }}\frac{{f^\prime }}{f}\frac{{\Re (\mathit{\epsilon} )}}{{1 + \left| \mathit{\epsilon} \right|^2{\mathrm{NA}}^2{\mathrm{/}}2}}$$

For small numerical aperture (\({\mathrm{NA}} \ll \left| \mathit{\epsilon} \right|\)) and \(\mathit{\epsilon}\) real, the displacement of the centroid increases linearly in \(\mathit{\epsilon}\). For circular polarization \(\mathit{\epsilon} = \pm 1\), the centroid of the image is displaced from the expected position by \(\left\langle {\hat y} \right\rangle \approx \pm \lambda {\mathrm{/}}(2\uppi )\) times the magnification of the optical system f′/f; that is, the particle appears to be displaced by λ/(2π), taking into account that the assumed imaging system produces a flipped image. The maximum displacement of the centroid for \(\mathit{\epsilon}\) real is given by

$$\left\langle {\hat y} \right\rangle _{{\mathrm{max}}} = \pm \frac{\lambda }{{2\uppi }}\frac{{f^\prime }}{f}\frac{1}{{\sqrt 2 {\mathrm{NA}}}}$$

In other words, for vanishing NA, the displacement of the apparent and real positions of the particle can be arbitrarily large.

Fourier-optic derivation of the centroid position

The position of the centroid can also be calculated in the framework of Fourier optics. We calculate the electric fields of the three fundamental electrical dipoles oscillating in the x, y and z directions in the image plane and obtain, for the approximation of small NA,

$${\bf{E}}_x = iE_0 \frac{{{\mathrm{NA}}^2}}{\rho }J_2(\tilde \rho )\left( {{\mathrm{cos}}{\kern 1pt} \varphi {\bf{e}}_y + {\mathrm{sin}}{\kern 1pt} \varphi {\bf{e}}_z} \right)$$
$${\bf{E}}_y = E_0 \frac{{{\mathrm{NA}}}}{\rho }J_1(\tilde \rho ){\bf{e}}_y$$
$${\bf{E}}_z = E_0 \frac{{{\mathrm{NA}}}}{\rho }J_1(\tilde \rho ){\bf{e}}_z$$

where we have defined the amplitude

$$E_0 = \frac{{\mu \omega ^2}}{{4\uppi \mathit{\epsilon} _0^2c^2}}$$

and \(\tilde \rho = \rho k {\mathrm{NA}} f{\mathrm{/}}f^\prime\), with the opening angle of the objective NA ≈ D/(2f). The final image is then a superposition of the three dipole fields, from which we again obtain equation (20) for the centroid.

Immersion microscopy

In high-NA imaging, the so-called immersion method is used, where the first lens of the system is a solid immersion lens and the imaged particles are located on the planar side of the lens and embedded in immersion fluid that has the same refractive index as the lens. Consequently, wavefronts emitted by the particle are parallel to the surface of the lens. Thus, this method does not affect the wavefronts in the far field outside the lens and our discussion also applies for this case. It is only necessary to replace the numerical aperture NA with the geometrical numerical aperture NAg (NAg = NA/n) and to replace λ with the wavelength in the immersion fluid λ/n.

Atomic transition selective detection of photons

In the atom experiment, the photons are emitted with angular momentum Δ from a dipole transition of a single 138Ba+ atomic ion in a Paul trap, where Δm is given by the difference in the magnetic quantum number of the electronic level before and after the photon emission. Δm = 0 corresponds to emission from a linear π dipole and Δm = ±1 to emission from a circular σ dipole. Photons are emitted from the cooling transition, with λ = 493.41 nm (Supplementary Fig. 5a). A magnetic field B = 0.45 mT parallel to the axis of the trap (z axis) defines the quantization axis perpendicular to the optical axis (x axis). The ion is Doppler-cooled, reducing the extension of the motional atomic wavepacket down to ~36 nm, then is optically pumped into one of the Zeeman levels of the 6S1/2 ground state. For example, when preparing a photon emission Δm = +1, we pump to the 6S1/2, mj = −1/2 with a σ-polarized 493 nm laser and a repumper beam. Subsequently, we apply a short σ+-polarized 493 nm laser pulse which excites the atom to the state 6P1/2, mj = +1/2 (Supplementary Fig. 5b,d). From that excited state, the atom can spontaneously decay back to 6S1/2, mj = −1/2 through a Δm = +1 transition, to 6S1/2, mj = +1/2 through a Δm = 0 transition, or to the 6D3/2 manifold. During this transition the atom emits a photon that can be collected by the objective (NA = 0.40) and directed to the camera through the imaging system. To detect photons from the opposite transition (Δm = −1), the polarizations of the optical pumping and excitation beams are exchanged (Supplementary Fig. 5c).

In this configuration, photons from the Δm = 0 (Δm = ±1) transition are horizontally (vertically) polarized along the optical axis. This allows us to select only photons from the σm = ±1) transitions by introducing a PBS after the objective. An ideal PBS removes 99.998% of photons from the π transitions and 2.7% of photons from the σ transitions. Therefore we expect that the σ± dipole image is not significantly changed by the polarization filtering, and indeed this is borne out by complete numerical simulations (Supplementary Fig. 6).

The results shown in the main text were obtained using an ICCD camera (Andor iStar A-DH334T-18H-63). Supplementary Fig. 5d shows the sequence and timing used in the experiment.

Atom image characteristics, stability and drifts correction

The image of the atomic ion corresponds to the PSF of the imaging system, which is well approximated in our case by a 2D Gaussian. The detected images are fitted to a Gaussian profile with seven free parameters (z0, y0, σz, σy, A, O, θ), where (z0, y0) are the coordinates of the centroids, σz and σy are the standard deviation in the major and minor axis, A is the amplitude, O is an offset and θ is the rotation angle with respect to the CCD sensor axis. The magnification of the imaging system is measured by imaging a string of two ions separated by well-known distance42, and is given by M = 5.40(7).

The long accumulation time introduces a new source of error in the position estimation from mechanical drifts in the imaging system. The stability of the imaging system is characterized by the Allan variance of the fitted centroids of the detected images7, which gives us a measure of the position uncertainty depending on the accumulation time τ. This was done by taking N pictures with exposure time t, adding them in bins of duration τ = nt, where n is an integer number smaller than N/2. Each binned image was fitted to the seven-parameter Gaussian function, from which the centroids were extracted. For comparison we also used, besides the ICCD camera, an electron-multiplying (EM) CCD camera (Andor iXon DU-897) with bigger pixel size (16 × 16 μm2). In the case of the EMCCD camera we took 2,000 images (2 s exposure time) with the atom emitting resonance florescence at maximum rate. In the case of the ICCD camera, we took 3,000 images (0.5 s exposure). In both cases, the time between two consecutive images was negligible. Supplementary Fig. 7a,b shows the vertical position uncertainty extracted with this method. The minimum uncertainty in the vertical position obtained using the EMCCD camera is 2.13(41) nm for 148 s accumulation time, while for the ICCD set-up the minimum is 3.29(71) nm for 74 s accumulation time. In both cases, the decreasing part of the curve is dominated by shot noise. The drift of the centre of the fitted reference images used in the experiment is shown in Supplementary Fig. 7c, where we observe that in a period of 3 h the image drifts a maximum of ~200 nm in both vertical and horizontal directions. To compensate for these drifts, we used the acquisition of long-exposure images during the cooling stage (Supplementary Fig. 5e) to obtain a real-time ‘reference’ of the particle position. Supplementary Fig. 5d,e shows the full experimental sequence. This sequence was repeated for 3 h, and the analysed pictures correspond to the accumulation of photons in a 11 × 11 pixel sub-area of the CCD sensor.

After the data collection was finished, each reference image was fitted, and the mean centroid position of two consecutive reference images was used to correct for the drifts in the signal image acquired between them. Then, we added up all the corrected signal images and fitted these data. Finally, we compared the centroid positions of the added up reference and signal images to determine their relative displacement. The uncertainty of the displacement was extracted from the 1σ confidence intervals using χ2 analysis, given its relation with the real noise sources43.

Nanoparticle sample preparation and set-up

We deposited a single gold nanoparticle (BBI solutions, diameter 100 nm) on a silica nanofibre (diameter 410 nm) by touching the nanofibre with a droplet that contained a diluted suspension of nanoparticles. The presence of a single nanoparticle on the nanofibre could be detected via absorption spectroscopy34. The solid immersion lenses were positioned around the nanoparticle such that the nanoparticle lay in the centre of the two lenses. The gap between the lenses of about 200 μm was filled with immersion oil.

The imaging system was a combination of a long-working-distance microscope and the solid immersion lenses (half ball lenses with a radius of 2.5 mm). The microscope consisted of an infinity-corrected objective by Mitutoyo, with a magnification of ×20 and an infinity tube lens to image onto a CCD camera (Matrix Vision mvBlueFOX3-1013G-2212). In two different measurements we used two different objectives with NA of 0.28 and 0.42. Via a surface topography standard, we measured the magnification of the long-working-distance microscope. This combination resulted in an overall imaging system with NAs of 0.41 and 0.61 and magnifications M0.41 = 21.9(2) and M0.61 = 20.1(1).

In the experiment we used two laser beams—a reference and a measurement beam—with fixed and adjustable polarization, respectively (Fig. 2b). The polarization of the reference beam was aligned along the z axis. The measurement beam was set to be linear polarized along the y axis before passing through a half- and then a quarter-wave plate. By rotating the half-wave plate we could adjust the beam’s polarization to every elliptical polarization with the major axes along x or y. To avoid aberration caused by light propagating along the ridge of the two immersion lenses, the measurement beam was tilted by 7° from the z axis (Fig. 2b). This tilt is included in the theory plots shown in Fig. 3f.

Data acquisition and analysis

The illumination times of the images were 2 ms (NA = 0.41 objective) and 6.5 ms (NA = 0.61 objective). The pictures were taken alternately using the reference and measurement beams (Fig. 2b). In the experimental sequence, the particle displacements were measured as a function of polarization and the focal position of the imaging optics. For every polarization ratio \(\mathit{\epsilon}\), the relative focus position was scanned by moving the long-working-distance microscope with a step size of 1.25 μm and a total range ~20 μm. Then, the polarization ratio was changed by rotating the half-wave plate by 2.5°. A total of 25 tuples of data were acquired for every \(\mathit{\epsilon}\) and focus position. Figure 3f shows the mean displacements obtained from averaging over all displacements for the five focal positions closest to the focus of the imaging system. The statistical error of each data point displayed in Fig. 3f is estimated as \(\sigma _{{\mathrm{\Delta }}y}/\sqrt {125}\), where σΔy is the standard deviation of the measured displacements.

To correct for inhomogeneous pixel efficiencies of the CCD camera, we applied standard flat-field correction on the measured image data. Then, to determine the (apparent) position of the nanoparticle, we fitted a 2D Gaussian with six free fitting parameters to the particle images. The free parameters are the centroid position (z0, y0), amplitude A, waists σz and σy of the elliptical Gaussian, and intensity offset O.

Data availability

The data that support the findings of this study are available from the authors upon reasonable request. Contact persons are G.A. for the ion experiment, and J.V. or A.R. for the nanoparticle experiment.

Additional information

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  1. 1.

    Boas, D. A., Pitris, C. & Ramanujam, N. Handbook of Biomedical Optics (CRC Press, Boca Raton, 2011).

  2. 2.

    Kovalevsky, J. & Seidelmann, P. K. Fundamentals of Astrometry (Cambridge Univ. Press, Cambridge, 2004).

  3. 3.

    Novotny, L. & Hecht, B. Principles of Nano-Optics (Cambridge Univ. Press, Cambridge, 2006).

  4. 4.

    Anderson, J. & King, I. R. Toward high-precision astrometry with WFPC2. I. Deriving an accurate point-spread function. Publ. Astron. Soc. Pac. 112, 1360–1382 (2000).

  5. 5.

    Hell, S. W. Far-field optical nanoscopy. Science 316, 1153–1158 (2007).

  6. 6.

    Alberti, A. et al. Super-resolution microscopy of single atoms in optical lattices. New J. Phys. 18, 053010 (2016).

  7. 7.

    Wong-Campos, J. D., Johnson, K. G., Neyenhuis, B., Mizrahi, J. & Monroe, C. High-resolution adaptive imaging of a single atom. Nat. Photon. 10, 606–610 (2016).

  8. 8.

    Sapienza, L., Davanço, M., Badolato, A. & Srinivasan, K. Nanoscale optical positioning of single quantum dots for bright and pure single-photon emission. Nat. Commun. 6, 7833 (2015).

  9. 9.

    Thompson, R. E., Larson, D. R. & Webb, W. W. Precise nanometer localization analysis for individual fluorescent probes. Biophys. J. 82, 2775–2783 (2002).

  10. 10.

    Enderlein, J., Toprak, E. & Selvin, P. R. Polarization effect on position accuracy of fluorophore localization. Opt. Express 14, 8111–8120 (2006).

  11. 11.

    Engelhardt, J. et al. Molecular orientation affects localization accuracy in superresolution far-field fluorescence microscopy. Nano Lett. 11, 209–213 (2011).

  12. 12.

    Backlund, M. P. et al. Simultaneous, accurate measurement of the 3D position and orientation of single molecules. Proc. Natl Acad. Sci. USA 109, 19087–19092 (2012).

  13. 13.

    Lew, M. D. & Moerner, W. E. Azimuthal polarization filtering for accurate, precise, and robust single-molecule localization microscopy. Nano Lett. 14, 6407–6413 (2014).

  14. 14.

    Backlund, M. P. et al. Removing orientation-induced localization biases in single-molecule microscopy using a broadband metasurface mask. Nat. Photon. 10, 459–464 (2016).

  15. 15.

    Mortensen, K. I., Churchman, L. S., Spudich, J. A. & Flyvbjerg, H. Optimized localization analysis for single-molecule tracking and super-resolution microscopy. Nat. Methods 7, 377–381 (2010).

  16. 16.

    Quirin, S., Pavani, S. R. P. & Piestun, R. Optimal 3D single-molecule localization for superresolution microscopy with aberrations and engineered point spread functions. Proc. Natl Acad. Sci. USA 109, 675–679 (2012).

  17. 17.

    Stallinga, S. & Rieger, B. Position and orientation estimation of fixed dipole emitters using an effective Hermite point spread function model. Opt. Express 20, 5896–5921 (2012).

  18. 18.

    Wertz, E., Isaacoff, B. P., Flynn, J. D. & Biteen, J. S. Single-molecule super-resolution microscopy reveals how light couples to a plasmonic nanoantenna on the nanometer scale. Nano Lett. 15, 2662–2670 (2015).

  19. 19.

    Raab, M., Vietz, C., Stefani, F. D., Acuna, G. P. & Tinnefeld, P. Shifting molecular localization by plasmonic coupling in a single-molecule mirage. Nat. Commun. 8, 13966 (2017).

  20. 20.

    Moe, G. & Happer, G. Conservation of angular momentum for light propagating in a transparent anisotropic medium. J. Phys. B At. Mol. Phys. 10, 1191–1208 (1977).

  21. 21.

    Schwartz, C. & Dogariu, A. Conservation of angular momentum of light in single scattering. Opt. Express 14, 8425–8433 (2006).

  22. 22.

    Bliokh, K. Y., Rodrguez-Fortuno, F. J., Nori, F. & Zayats, A. V. Spin–orbit interactions of light. Nat. Photon. 9, 796–808 (2016).

  23. 23.

    Bliokh, K. Y., Gorodetski, Y., Kleiner, V. & Hasman, E. Coriolis effect in optics: unified geometric phase and spin-Hall effect. Phys. Rev. Lett. 101, 030404 (2008).

  24. 24.

    Rodríguez-Herrera, O. G., Lara, D., Bliokh, K. Y., Ostrovskaya, E. A. & Dainty, C. Optical nanoprobing via spin–orbit interaction of light. Phys. Rev. Lett. 104, 253601 (2010).

  25. 25.

    Lodahl, P. et al. Chiral quantum optics. Nature 541, 473–480 (2017).

  26. 26.

    Li, X. & Arnoldus, H. F. Macroscopic far-field observation of the sub-wavelength near-field dipole vortex. Phys. Lett. A 374, 1063–1067 (2010).

  27. 27.

    Darwin, C. G. Notes on the theory of radiation. Proc. Roy. Soc. A 136, 36–52 (1932).

  28. 28.

    Bekshaev, A. Y., Bliokh, K. Y. & Nori, F. Transverse spin and momentum in two-wave interference. Phys. Rev. X 5, 011039 (2015).

  29. 29.

    Berry, M. V. Optical currents. J. Opt. A: Pure Appl. Opt. 11, 094001 (2009).

  30. 30.

    Knee, G. C., Combes, J., Ferrie, C. & Gauger, E. M. Weak-value amplification: state of play. Quantum Meas. Quantum Metrol. 3, 32–37 (2016).

  31. 31.

    Stallinga, S. & Rieger, B. Accuracy of the Gaussian point spread function model in 2D localization microscopy. Opt. Express 18, 24461–24476 (2010).

  32. 32.

    Howes, P. D., Chandrawati, R. & Stevens, M. M. Colloidal nanoparticles as advanced biological sensors. Science 346, 1247390 (2014).

  33. 33.

    Zhang, P., Lee, S., Yu, H., Fang, N. & Kang, S. H. Super-resolution of fluorescence-free plasmonic nanoparticles using enhanced dark-field illumination based on wavelength-modulation. Sci. Rep. 5, 11447 (2015).

  34. 34.

    Petersen, J., Volz, J. & Rauschenbeutel, A. Chiral nanophotonic waveguide interface based on spin–orbit interaction of light. Science 346, 67–71 (2014).

  35. 35.

    Yildiz, A. et al. Myosin V walks hand-over-hand: single fluorophore imaging with 1.5-nm localization. Science 300, 2061–2065 (2003).

  36. 36.

    Small, A. R. & Parthasarathy, R. Superresolution localization methods. Annu. Rev. Phys. Chem. 65, 107–125 (2014).

  37. 37.

    Bakr, W. S., Gillen, J. I., Peng, A., Folling, S. & Greiner, M. A quantum gas microscope for detecting single atoms in a Hubbard-regime optical lattice. Nature 462, 74–77 (2009).

  38. 38.

    Lee, J.-S. & Pottier, E. Polarimetric Radar Imaging: From Basics to Applications (CRC Press, Boca Raton, 2009).

  39. 39.

    Hayes, M. P. & Gough, P. T. Synthetic aperture sonar: a review of current status. IEEE J. Ocean. Eng. 34, 207–224 (2009).

  40. 40.

    Abbott, B. P. et al. Search for post-merger gravitational waves from the remnant of the binary neutron star merger GW170817. Astrophys. J. Lett. 851, L16 (2017).

  41. 41.

    Bialynicki-Birula, I. & Bialynicka-Birula, Z. Gravitational waves carrying orbital angular momentum. New J. Phys. 18, 023022 (2016).

  42. 42.

    James, D. Quantum dynamics of cold trapped ions with application to quantum computation. Appl. Phys. B 66, 181–190 (1998).

  43. 43.

    Bobroff, N. Position measurement with a resolution and noise-limited instrument. Rev. Sci. Instrum. 57, 1152–1157 (1986).

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The authors thank P. Obšil for experimental support, and J. Enderlein, M. Hush and A. Jesacher for helpful discussions. This work was supported by the Austrian Science Fund (FWF, SINPHONIA project P23022, SFB FoQuS F4001, SFB NextLite F4908), by the European Research Council through project CRYTERION #227959, by the Institut für Quanteninformation GmbH and by the Australian Research Council through project CE170100012.

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Author notes

  1. These authors contributed equally: G. Araneda, S. Walser


  1. Institut für Experimentalphysik, Universität Innsbruck, Innsbruck, Austria

    • G. Araneda
    • , Y. Colombe
    • , D. B. Higginbottom
    •  & R. Blatt
  2. Vienna Center for Quantum Science and Technology, TU Wien-Atominstitut, Vienna, Austria

    • S. Walser
    • , J. Volz
    •  & A. Rauschenbeutel
  3. Centre for Quantum Computation and Communication Technology, Research School of Physics and Engineering, The Australian National University, Canberra, Australian Capital Territory, Australia

    • D. B. Higginbottom
  4. Institut für Quantenoptik und Quanteninformation, Österreichische Akademie der Wissenschaften, Innsbruck, Austria

    • R. Blatt
  5. Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany

    • A. Rauschenbeutel


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J.V. and A.R. proposed the concept. All authors contributed to the design and the setting up of the experiments (atom experiment: G.A., Y.C., D.B.H. and R.B.; nanoparticle experiment: S.W., J.V. and A.R.). G.A. and D.B.H. performed the atom experiment and analysed the data. S.W. performed the nanoparticle experiment and analysed the data. All authors contributed to the writing of the manuscript.

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The authors declare no competing interests.

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Correspondence to G. Araneda or J. Volz or A. Rauschenbeutel.

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