Although near-field imaging techniques reach sub-nanometer resolution on rigid samples, it remains extremely challenging to image soft interfaces, such as biological membranes, due to the deformations induced by the probe. In photonic force microscopy, optical tweezers are used to manipulate and measure the scanning probe, allowing imaging of soft materials without force-induced artifacts. However, the size of the optically trapped probe still limits the maximum resolution. Here, we show a novel and simple nanofabrication protocol to massively produce optically trappable quartz particles which mimic the sharp tips of atomic force microscopy. Imaging rigid nanostructures with our tips, we resolve features smaller than 80 nm. Scanning the membrane of living malaria-infected red blood cells reveals, with no visible artifacts, submicron features termed knobs, related to the parasite activity. The use of nanoengineered particles in photonic force microscopy opens the way to imaging soft samples at high resolution.
Although near-field imaging techniques reach sub-nanometer resolution on rigid samples, it remains extremely challenging to image soft interfaces, such as biological membranes, due to the deformations induced by the probe. In photonic force microscopy, optical tweezers are used to manipulate and measure the scanning probe, allowing imaging of soft materials without force-induced artifacts. However, the size of the optically trapped probe still limits the maximum resolution. Here, we show a novel and simple nanofabrication protocol to massively produce optically trappable quartz particles which mimic the sharp tips of atomic force microscopy. Imaging rigid nanostructures with our tips, we resolve features smaller than 80 nm. Scanning the membrane of living malaria-infected red blood cells reveals, with no visible artifacts, submicron features termed knobs, related to the parasite activity. The use of nanoengineered particles in photonic force microscopy opens the way to imaging soft samples at high resolution.
Entities:
Keywords:
malaria; optical tweezers; photonic force microscopy; red blood cells; sharp nanocylinders
In photonic force microscopy
(PhFM), the laser trap raster scans the sample and the induced displacement
of the trapped particle from its equilibrium position is measured
by fast interferometry.[1−8] Other than providing sub-piconewton/nanometer stiffness, optically
trapping the probe decouples it from the instrument, potentially allowing
low-force scanning within confined volumes not accessible by other
techniques.[9] As in atomic force microscopy
(AFM), measurements of the axial displacement of the probe in PhFM
(signal S) reach the
nanometer resolution. Recently, an improved version of the PhFM[6] has achieved resolutions beyond the diffraction
limit in the transverse directions (signals S and S) using ∼100–200 nm beads as scanning probes.
When trapping a spherical particle, reducing its size unfortunately
reduces also the signal-to-noise ratio obtained; therefore, other
strategies are required to increase the lateral resolution. In order
to control the applied optical force and to increase the resolution,
different particle geometries have been used in different configurations.[10−14] In particular, the behavior of elongated particles trapped in optical
tweezers (OT) has been studied experimentally and theoretically due
to their potential use as scanning probes.[15−19] Second harmonic generation of optically trapped particles
has also attracted interest for its potential in scanning microscopy,
local spectroscopy, and thermometry.[16,20,21] However, the resolution of PhFM still remains limited
to hundreds of nanometers in two of the three dimensions, and the
PhFM lags behind the AFM mainly because sharp tips equivalent to those
used in AFM have yet to be developed.We have developed a novel
nanofabrication protocol (sketched in Figure a), wherein we can
produce optically trappable particles (60 × 106 per
batch) which mimic the sharp tips of AFM. Importantly, to allow stable
trapping and to maximize the optical signals from the OT, the probe
is designed as a large micron-sized truncated cone, holding a sharp
feature (of 35 nm radius of curvature in Figure b) in the center of its top surface.
Figure 1
Tip fabrication
and optical setup. (a) Microfabrication process.
Cylindrical particles are generated by laser interference lithography,
etching a quartz substrate where a 800 nm thick SiO2 layer
is deposited. A tuned acid thinning by hydrofluoric acid produces
sharp tips in the SiO2 layer. The particles are then cleaved
mechanically off the substrate. (b) Scanning electron microscope image
of cleaved particles, where the contrast of one tip has been enhanced
for clarity. The radius of curvature of the tip is 35 nm. (c) Schematic
cartoon of the optical trap holding the particle and scanning the
surface of the sample with the sharp tip. (d) Schematic optical setup.
L/2, half-wave plate; PBS, polarizer; AOM, acousto-optical modulator;
NPBS, nonpolarizing beam splitter; Exp, beam expander; T1:1, one to
one telescope; Obj, objective; Cond, condenser; PD, photodiode (to
acquire S); PSD, position-sensitive
detector (to acquire S); IRCCD, infrared CCD camera; VisCCD, visible CCD
camera.
Tip fabrication
and optical setup. (a) Microfabrication process.
Cylindrical particles are generated by laser interference lithography,
etching a quartz substrate where a 800 nm thick SiO2 layer
is deposited. A tuned acid thinning by hydrofluoric acid produces
sharp tips in the SiO2 layer. The particles are then cleaved
mechanically off the substrate. (b) Scanning electron microscope image
of cleaved particles, where the contrast of one tip has been enhanced
for clarity. The radius of curvature of the tip is 35 nm. (c) Schematic
cartoon of the optical trap holding the particle and scanning the
surface of the sample with the sharp tip. (d) Schematic optical setup.
L/2, half-wave plate; PBS, polarizer; AOM, acousto-optical modulator;
NPBS, nonpolarizing beam splitter; Exp, beam expander; T1:1, one to
one telescope; Obj, objective; Cond, condenser; PD, photodiode (to
acquire S); PSD, position-sensitive
detector (to acquire S); IRCCD, infrared CCD camera; VisCCD, visible CCD
camera.The simplicity of the nanofabrication
protocol relies mainly on
the use of laser interference lithography (LIL)[22] (a cost-effective, parallel, and reliable technique which
we describe in detail in ref (23)) to write the pattern that produces the particles. The
particle geometry is produced by two serial etching processes which
follow the LIL exposure: a first anisotropic reactive ion etching
to produce the cylindrical geometry, followed by an isotropic hydrofluoric
acid (HF) wet etch step to produce the tips on a top deposited SiO2 layer. Once obtained, the particles are mechanically cleaved
off the substrate, collected, and stored in liquid. With scanning
electron microscopy imaging, we find that 30% of the collected particles
maintain their tip. The details of the nanofabrication protocol are
described in the Supporting Information.The core material chosen is quartz, a crystal whose birefringence
is instrumental in PhFM. Birefringent cylindrical particles have been
developed by different techniques in the context of optical single-molecule
manipulation.[23−28] Due to the torque imposed by radiation pressure, the main axis of
the trapped particle remains parallel to the laser propagation direction.
Also, due to the torque imposed by the laser linear polarization on
the birefringent medium, the x-cut quartz particle
cannot rotate about its geometrical axis (the particle can rotate
about its main axis if the laser polarization is circular or if the
linear polarization is set in rotation).[29,30] This constrains all the degrees of freedom (x, y, z and two angles, Figure c) of the trapped particle. Moreover, the
chemical stability of the crystal prevents the formation of reactive
molecules, as observed in trapped semiconductor and metallic nanoparticles.[31] Our OT setup is shown in Figure d and is described in detail in the Supporting Information. Briefly, a stabilized
infrared laser beam of 20–60 mW power is focused by a 1.2 NA
microscope objective into a flow cell containing the sample to scan.
The forward-scattering detection consists of a position-sensitive
detector (PSD) to acquire the transverse displacement of the trapped
particle (signals S and S) and of a separate photodiode
with reduced numerical aperture[32] to detect
the axial displacement (S signal). In this way, the transverse and axial resolution can be
maximized independently.Despite its complex geometry, the particle
in the trap behaves
not too differently from the standard spherical dielectric beads commonly
used in OT. We characterize and quantify its behavior in Figure by analyzing its
overdamped Langevin dynamics (as inertia does not play a role at a
low Reynolds number). In Figure a, we perform a distance-displacement measurement:
the signals S are recorded while the trap position slowly
scans the axial direction and contacts the rigid substrate surface.
The resulting z-displacement of the tip within the
trap can be approximated by a linear curve for displacements up to
400 nm. At the same time, the S and S signals
remain constant, indicating that the particle x, y position is only slightly perturbed when exploring the
extreme axial region of the optical potential. In order to calibrate
the instrument, we extract the sensitivity β (0.94 mV/nm) from
the linear region of the z-displacement curve in Figure a, by which one can
map the signals from volts to physical distance (e.g., see the inset
of Figure b). Fitting
the power spectrum shown in Figure b with a Lorentzian function,[34] we obtain the trap stiffness k (3 fN/nm) and the particle drag γ (6 × 10–6 pN s/nm). To test the calibration
further, we compare the resulting drag coefficient γ with the theoretical value γ∥ obtainable for microscopic cylinders[35] (see Supporting Information section 2),
which we find in the range γ∥ = (6–9)
× 10–6 pN s/nm, validating our experimental
value. Also, if we consider the theoretical value of the drag coefficient
γ⊥ for a cylinder translating in the plane x, y we can calibrate the transverse dimensions
of the OT, as well. This allows us to obtain images of the sample
from the three displacement signals: S, S, and S.
Figure 2
Characterization
of the trapped particle. (a) Indentation measurement.
The signals S are recorded while the optical trap is
moved along z. The particle starts interacting with
the flat glass surface at z = 0. The S signal is linear in the region highlighted
in orange. Here, the tip faces the surface (see Figure a). (b) PSD of the signals S acquired from a particle trapped in the liquid bulk. The dashed
lines correspond to Lorentzian fits to the data. The inset shows the
signal S in nanometers,
together with its probability density (blue histogram), fit by a Gaussian
distribution (orange line). (c) Allan deviation for a particle trapped
in bulk (blue points) and in contact to the surface (orange points).
The black dashed line corresponds to the fit of the analytical expression[33] for a particle in a harmonic potential. When
the particle is in contact with the glass surface, drift becomes relevant
for measurements integrating for more than 1 s. (d) Auto- and cross-correlation
functions of the signal S for a particle trapped in the
liquid bulk. The dashed lines correspond to single-exponential fits.
Characterization
of the trapped particle. (a) Indentation measurement.
The signals S are recorded while the optical trap is
moved along z. The particle starts interacting with
the flat glass surface at z = 0. The S signal is linear in the region highlighted
in orange. Here, the tip faces the surface (see Figure a). (b) PSD of the signals S acquired from a particle trapped in the liquid bulk. The dashed
lines correspond to Lorentzian fits to the data. The inset shows the
signal S in nanometers,
together with its probability density (blue histogram), fit by a Gaussian
distribution (orange line). (c) Allan deviation for a particle trapped
in bulk (blue points) and in contact to the surface (orange points).
The black dashed line corresponds to the fit of the analytical expression[33] for a particle in a harmonic potential. When
the particle is in contact with the glass surface, drift becomes relevant
for measurements integrating for more than 1 s. (d) Auto- and cross-correlation
functions of the signal S for a particle trapped in the
liquid bulk. The dashed lines correspond to single-exponential fits.
Figure 3
AFM and PhFM
imaging of rigid samples. (a) z position-displacement
curves for the two possible particle orientations. When the tip faces
the surface (orange points), the contact point appears before (∼400
nm) than when the tip is in the opposite direction (blue points).
The shape and relative values (in volts) of the two curves differ
and allow systematic recognition of the tip orientation. The dashed
lines correspond to a fit to a piece-wise polynomial function. (b)
Image of 100 nm random features on glass obtained with the tip not
facing the sample. (c) AFM image and (d) PhFM image (with tip facing
the sample) of the same region. (e,g) AFM and (f,h) PhFM images of
the same regions. Details of 80 nm can be resolved (see Supporting Information Figure S6). The color
bars of (d,f,h) are the same. All the scans cover an area of 1 ×
1 μm2.
In Figure c, we
trace the Allan deviation[36,37] of S, which quantifies the accuracy of the
measured mean value of the signal as a function of the integration
time used. When measured in bulk, the Allan deviation can be fit by
an analytical expression for a spherical particle in a harmonic potential.[33] The fit provides a trap stiffness k (4 fN/nm) compatible with the previous
results (whereas the drag γ = 11
× 10–6 pN nm/s is far from the value obtained
above because of the hypothesis of spherical geometry). The Allan
deviation peak indicates that the particle requires ∼10 ms
to explore the trap volume and that ∼4 s of integration is
required to reach 1 nm accuracy. When measured with the particle in
contact with the surface, the Allan deviation indicates that drift
in our setup starts to deteriorate the z-accuracy
for integration times longer than 1 s. In the following, when imaging
the sample surface with these particles, as a compromise between z-measurement accuracy and imaging time, we fix the time
spent on each pixel to 80 ms, expecting an accuracy in z of few nanometers (see Supporting Information Figure S5 for the implementation of drift correction).Additionally,
the auto- and cross-correlations of the signals carry
interesting information about the linear and angular fluctuations
of the elongated particle.[38−40] After correcting for a small
crosstalk between the signals S and S (see Supporting Information section 2), we find that
both the autocorrelations, C(τ) = ⟨S(t)S(t + τ)⟩ (i = x, y, z), and the transverse
cross-correlation, C(τ), can be fit by a single exponential (Figure c). The values of the exponential rates of C, C, and C (corresponding to ω = k/γ for C (i = x, y) and to ΩΘ = kΘ/γΘ for C, where Θ indicates the tilt angle; see Figure c) are found within 3% relative error. Considering
the theoretical value for the angular drag coefficient of a cylinder
with the dimensions compatible with our particle (γΘ = 8.8 pN nm s; see Supporting Information section 4), we can estimate from the exponential fit of C and C (Ω = 4530 s–1)
the value of the angular stiffness (kΘ = 4 × 104 pN nm; see Supporting Information section 3). The tilt angular fluctuations of the
trapped particle can be estimated from . In conclusion,
these results show that
the particle remains stably trapped vertically in the laser focus,
and that its axial position can be accurately measured by the signal S.To validate our approach,
we employ the nanofabricated tips to
image structures on a hard substrate, which can be reliably imaged
by conventional AFM for comparison. To this end, we etched the glass
coverslip surface masked by randomly adhered 100 nm polystyrene beads.
We find that the scattering due to the sample is negligible with respect
to that from the trapped particle, due to its micrometer-scale size.
Therefore, we do not implement here the correction successfully proposed
by Friedrich et al. for more optically thick samples.[6] The results are shown in Figure . First, for each
particle trapped, we need to assess whether the tip faces the sample.
We have found that this can be done easily and systematically by running
a set of z-displacement measurements (Figure a), where, between each measurement,
the laser trap is briefly blocked to let the particle reorient. The
curves corresponding to the two configurations (tip up, tip down)
are well recognizable from their shape and relative position.AFM and PhFM
imaging of rigid samples. (a) z position-displacement
curves for the two possible particle orientations. When the tip faces
the surface (orange points), the contact point appears before (∼400
nm) than when the tip is in the opposite direction (blue points).
The shape and relative values (in volts) of the two curves differ
and allow systematic recognition of the tip orientation. The dashed
lines correspond to a fit to a piece-wise polynomial function. (b)
Image of 100 nm random features on glass obtained with the tip not
facing the sample. (c) AFM image and (d) PhFM image (with tip facing
the sample) of the same region. (e,g) AFM and (f,h) PhFM images of
the same regions. Details of 80 nm can be resolved (see Supporting Information Figure S6). The color
bars of (d,f,h) are the same. All the scans cover an area of 1 ×
1 μm2.We then record the signals S while scanning the sample
surface sequentially at discrete positions spaced by 10 nm, which
correspond to the position of each pixel. The images in Figure b,d correspond to the image
of the same region obtained with the two tip configurations: the details
of the sample appear only when the tip faces the sample. The image
of the same region obtained by AFM (Figure c) confirms the one obtained by PhFM (Figure d). Two more comparisons
between images of the same sample obtained by AFM and PhFM are shown
in Figure e,f and Figure g,h and indicate
that features of at least 80 nm (see Supporting Information Figure S6) can be well resolved with the nanofabricated
tips by PhFM. Given the stiffness of the optical trap (k = 3 fN/nm), the maximum force applied
by the tip on the sample remains lower than 0.4 pN. Interestingly,
the image obtained from the transverse tip displacement (S, S) highlights the borders of the objects scanned (Supporting Information Figure S3).To demonstrate
the potential of the technique in scanning intact
living cells (without artificial hardening the sample, as routinely
done in AFM to produce a sufficient probe displacement), we now image
the external membrane of intact red blood cells infected by the malaria
parasite. When Plasmodium falciparum infects a red blood cell, it exports newly expressed proteins (such
as PfEMP1 and KHARP) to the host cell membrane, altering its otherwise
smooth topography. As a result, small features of about 100 nm, termed knobs, appear on the surface, stiffening the membrane and
causing increased cell adherence and eventually vascular flow nuisances[41] (Figure a). The infected red blood cells are immobilized on a poly-l-lysine (PLL)-coated glass coverslip, which also applies tension
to the membrane. The cells are otherwise not treated biochemically.
Figure 4
PhFM of
the membrane of living malaria-infected red blood cells
presenting knobs on its surface. (a) Optical (left) and SEM (right,
kindly provided by Laurence Berry, UMR5235 Un. Montpellier) image
of an infected red blood presenting knobs on its surface. A region
scanned by PhFM is shown in the optical image. (b) Axial position-displacement
curves obtained on the hard glass surface and on the cell membrane.
The linear fits after contact are shown by dashed lines. Inset: corresponding
indentation curves, where the curve corresponding to the glass surface
is set vertical. (c) Image obtained from the axial displacement signal S in a first scan of an infected
cell and (d) its high-pass filtered version. (e) Image obtained in
a subsequent scan in the region highlighted in red and (f) its filtered
version. In (d,f), the same protrusions ascribable to knobs are marked
by circles, showing that their position is the same in the two scans.
(g–i) Scan on a different infected cell, where the images are
obtained from the signals S, S, S as indicated and high-pass
filtered. Despite the limited axial resolution in S (g), the presence of the knobs is retrieved
in the transverse signals (h,i).
PhFM of
the membrane of living malaria-infected red blood cells
presenting knobs on its surface. (a) Optical (left) and SEM (right,
kindly provided by Laurence Berry, UMR5235 Un. Montpellier) image
of an infected red blood presenting knobs on its surface. A region
scanned by PhFM is shown in the optical image. (b) Axial position-displacement
curves obtained on the hard glass surface and on the cell membrane.
The linear fits after contact are shown by dashed lines. Inset: corresponding
indentation curves, where the curve corresponding to the glass surface
is set vertical. (c) Image obtained from the axial displacement signal S in a first scan of an infected
cell and (d) its high-pass filtered version. (e) Image obtained in
a subsequent scan in the region highlighted in red and (f) its filtered
version. In (d,f), the same protrusions ascribable to knobs are marked
by circles, showing that their position is the same in the two scans.
(g–i) Scan on a different infected cell, where the images are
obtained from the signals S, S, S as indicated and high-pass
filtered. Despite the limited axial resolution in S (g), the presence of the knobs is retrieved
in the transverse signals (h,i).In Figure b, we
first show the results of membrane indentation measurements. The signal S is shown as a function of
the axial position of the optical trap, approaching both the cell
membrane and the rigid glass surface. Taking as a reference the curve
obtained on glass, the inset shows that the membrane is indented by
a maximum of 100 nm when the tip axial displacement is 300 nm. The
calibration provides here an axial stiffness of k = 1.5 fN/nm; therefore, the maximum
force applied on the membrane by the tip is 0.45 pN. These measurements
have been corrected by subtracting a background due to scattering,
as shown in Supporting Information Figure
S9. We then scan a 2 × 2 μm2 region of the cell
far from the location of the optically dense hemozoin (a byproduct
of hemoglobin digestion) and of the parasite (Figure a). When the low frequencies are removed
by 2D polynomial subtraction from the original image (Figure c and Supporting Information Figure S8), small protrusions of ∼100 nm
diameter and ∼20 nm height become clearly visible (Figure d). A subsequent
scan of the region highlighted in red in Figure c,d confirms the positions and dimensions
of these structures (∼150 nm × 40 nm, Figure e,f and Supporting Information Figure S8), which are compatible with
knobs observed by electron microscopy and AFM on dead cells.[41−43] Images of similarly immobilized noninfected red blood cells show
a smoother topography, where such structures are absent, as expected
(Supporting Information Figure S10). In Figure g–i, we show
the scan of a different infected live cell, where the axial resolution
(Figure g) is barely
sufficient to resolve the knobs even after image filtering. However,
information about the presence and positions of the knobs can also
be retrieved from the transverse signals S, S (Figure h,i), which reflect the lateral shift of
the particle in the trap due to the sample topography (encountering
small features along its trajectory, the probe is shifted both axially
and laterally). Although this information is currently qualitative,
this shows the rich information easily obtainable by PhFM (similar
to lateral force microscopy in AFM[44]),
the exploitation of which will be explored in future studies.In conclusion, we have shown a new and simple nanofabrication protocol
to massively produce optically trappable particles with sharp tips,
and by characterizing their behavior in the trap, we have shown that
they are well suited for scanning imaging. Employing the tips in PhFM,
we obtain images of rigid substrates with resolution below 80 nm,
which compare well with those obtained by AFM. The potential of PhFM
in scanning soft materials while applying sub-piconewton force is
shown in imaging the 150 nm × 40 nm knobs on the membrane of
red blood cells infected by P. falciparum. Images are obtained from living cells, with a maximum force of
a fraction of a piconewton, introducing no visible artifacts. Other
scanning techniques mainly require chemical fixation to rigidify the
sample (therefore killing the cells) and need to apply minimum forces
of tens to hundreds of piconewton to obtain a sufficient probe deflection
and a good signal-to-noise ratio in the image (a notable alternative
is scanning ion conductance microscopy[45]). In our implementation of PhFM, we find that a critical factor
is the passivation of the probe (currently we use incubation in bovine
serum albumin). Aspecific binding of the probe to the sample often
terminates the scan, and the low force of the optical trap is not
always sufficient to free the particle. Novel strategies have to be
explored in this regard. The speed of imaging depends on the time
required for the probe to accurately sample each pixel (a 100 ×
100 pixel image requires 13 min). To decrease this characteristic
time (equal to γ/k), the trap stiffness k can be increased via the laser power, but this is not
always compatible with delicate samples. Alternatively, smaller particles
could be engineered from higher index materials in order to decrease
the drag while keeping high stiffness. A good candidate is TiO2.[28] Interestingly, using a birefringent
material (such as quartz or TiO2) also allows for torque
manipulation.[24,30,46] Despite the fact that our particles are not absorbing and that the
absorption of water in the near-infrared is low,[47] heating effects[48] might be detrimental
for the behavior of biological material under a PhFM scan. Thus, it
is generally important to keep the trapping power at the sample below
50 mW (as in our case) to minimize thermal heating around the trapping
region. As local heating of the sample during the scan should be minimized,
it is interesting to note that novel methods such as laser refrigeration
can be achieved with nanocrystals in resonant conditions.[49,50] The photonic force microscope and optical tweezers are versatile
and multifunctional instruments, which allow mechanical and dynamical
measurements, together with manipulation at the micro- and nanoscale.
Our results open the way to new PhFM development for high-resolution
imaging.
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