The fluorescence intensity emitted by nitrogen-vacancy (NV) centers in diamond nanoparticles can be readily modulated by the application of a magnetic field using a small electromagnet. By acquiring interleaved images acquired in the presence and absence of the magnetic field and performing digital subtraction, the fluorescence intensity of the NV nanodiamond can be isolated from scattering and autofluorescence even when these backgrounds are changing monotonically during the experiments. This approach has the potential to enable the robust identification of nanodiamonds in organisms and other complex environments. Yet, the practical application of magnetic modulation imaging to realistic systems requires the use of quantitative analysis methods based on signal-to-noise considerations. Here, we describe the use of magnetic modulation to analyze the uptake of diamond nanoparticles from an aqueous environment into Caenorhabditis elegans, used here as a model system for identification and quantification of nanodiamonds in complex matrices. Based on the observed signal-to-noise ratio of sets of digitally subtracted images, we show that nanodiamonds can be identified on an individual pixel basis with a >99.95% confidence. To determine whether surface functionalization of the nanodiamond significantly impacted uptake, we used this approach to analyze the presence of nanodiamonds in C. elegans that had been exposed to these functionalized nanodiamonds in the water column, with uptake likely occurring by ingestion. In each case, the images show a significant nanoparticle uptake. However, differences in uptake between the three ligands were not outside of the experimental error, indicating that additional factors beyond the surface charge are important factors controlling uptake. Analysis of the number of pixels above the threshold in individual C. elegans organisms revealed distributions that deviate significantly from a Poisson distribution, suggesting that uptake of nanoparticles may not be a statistically independent event. The results presented here demonstrate that magnetic modulation combined with quantitative analysis of the resulting images can be used to robustly characterize nanoparticle uptake into organisms.
The fluorescence intensity emitted by nitrogen-vacancy (NV) centers in diamond nanoparticles can be readily modulated by the application of a magnetic field using a small electromagnet. By acquiring interleaved images acquired in the presence and absence of the magnetic field and performing digital subtraction, the fluorescence intensity of the NV nanodiamond can be isolated from scattering and autofluorescence even when these backgrounds are changing monotonically during the experiments. This approach has the potential to enable the robust identification of nanodiamonds in organisms and other complex environments. Yet, the practical application of magnetic modulation imaging to realistic systems requires the use of quantitative analysis methods based on signal-to-noise considerations. Here, we describe the use of magnetic modulation to analyze the uptake of diamond nanoparticles from an aqueous environment into Caenorhabditis elegans, used here as a model system for identification and quantification of nanodiamonds in complex matrices. Based on the observed signal-to-noise ratio of sets of digitally subtracted images, we show that nanodiamonds can be identified on an individual pixel basis with a >99.95% confidence. To determine whether surface functionalization of the nanodiamond significantly impacted uptake, we used this approach to analyze the presence of nanodiamonds in C. elegans that had been exposed to these functionalized nanodiamonds in the water column, with uptake likely occurring by ingestion. In each case, the images show a significant nanoparticle uptake. However, differences in uptake between the three ligands were not outside of the experimental error, indicating that additional factors beyond the surface charge are important factors controlling uptake. Analysis of the number of pixels above the threshold in individual C. elegans organisms revealed distributions that deviate significantly from a Poisson distribution, suggesting that uptake of nanoparticles may not be a statistically independent event. The results presented here demonstrate that magnetic modulation combined with quantitative analysis of the resulting images can be used to robustly characterize nanoparticle uptake into organisms.
The growing use of
engineered nanomaterials in consumer products
and the potential for their unintentional release into environmental
systems drive an increasing need to understand the potential impacts
of nanomaterials on complex and dynamic biological systems.[1−6] To understand the overall environmental impact of nanoparticles,
it is necessary to identify and understand the underlying mechanisms
of biological response. While some interactions are likely to be specific
to particular nanoparticle compositions,[4,7] recent data
suggest that some interactions of nanoparticles can be associated
with molecular properties.[8−10] For example, the surface chemistry
of nanomaterials, specifically the surface charge and hydrophilicity
of ligands attached to a nanoparticle, are factors that may impact
the outcomes of nanomaterials by governing the formation of coronas
or interactions with membranes and interfaces.[8,11−14] Identifying the impact of surface charge and other nanoparticle
properties on biological systems is a complex challenge that requires
highly stable nanoparticles and associated surface functionalization,
along with analytical tools able to investigate their locations and
interactions within organisms.[4,15]Identification
of the locations and quantities of nanoparticles
within organisms by optical microscopy techniques is complicated by
factors such as instability of the surface ligands, bleaching of the
fluorescence probes, and the complex optical properties (e.g., spatially
varying index of refraction, scattering, and absorption) of multicellular
organisms.[16−19] Recently, diamond nanoparticles have emerged as a system of interest
because diamonds can be covalently functionalized with molecular layers
with unparalleled chemical stability[8,14,17,20,21] while also being able to host stable fluorescent defects such as
nitrogen-vacancy (NV) centers that enable unique imaging capabilities.[22−24] Consequently, diamond nanoparticles can overcome many of the limitations
of fluorescence microscopy through superlative properties of photostability,
red emission, biocompatibility, and spin-dependent luminescence properties.[16,18,25−28] One unusual property of NV centers
is that they have unpaired spins with very long coherence times, such
that their fluorescence properties depend on the spin-state of their
electrons. As a result, the application of modest magnetic fields
on the order of a few Gauss can modulate the fluorescence intensity
by up to 20%.[29−31] This high sensitivity to magnetic fields can be used
to distinguish the nanodiamond from other sources of light emission,
such as scattering and autofluorescence.[29,30,32,33] The ability
to modulate NV-center fluorescence has enabled detection and imaging
in a variety of cellular and cell-model systems and imaging in a few
organismal systems.[32−35] These modulation-based imaging techniques provide a valuable supplement
or alternative to other methods used to image in high fluorescence
backgrounds. In contrast to methods like fluorescence lifetime imaging
or two-photon excited fluorescence that require specialized pulsed
excitation or time-gated detection,[36−38] magnet-induced modulation
can be incorporated into existing confocal or wide-field microscopes
using an inexpensive electromagnet and a simple current source. The
high (50%) duty cycle further yields good counting statistics using
low-powered illumination sources beyond proof-of-principle; however,
identification and quantification of the NV-nanodiamond are complex
endeavors with challenges that are specific to the system of study.
Organism-to-organism heterogeneity, fluctuations in autofluorescence,
and light absorption considerations related to tissue penetration
can complicate the detection and create the need for a robust process
for collecting and analyzing images to confidently identify the presence
of a nanodiamond above the background.In this study, we investigate
how to optimize magnetically modulated
image collection and analysis as a foundation for the quantitative
study of nanodiamond uptake within organisms. We use the aquatic organism Caenorhabditis elegans (C. elegans) as a model system due to its wide use and merit as a model organism
in many fields of science.[39] We perform
magnetic modulation of the NV center intensity from diamond nanoparticles
ingested by the organisms to identify how different experimental measurement
conditions and image analysis processes affect the ability to robustly
identify nanodiamonds within this organism. We especially focus here
on a statistical analysis of the magnetically modulated images and
how to robustly extract information from the images. Building upon
previously published procedures to functionalize nanodiamonds with
varying surface ligands,[20] we compare the
effects of the surface charge and ligand length on NV-containing nanodiamond
(NVND) uptake within the C. elegans. We also discuss some of the limitations of these methods in organisms,
including attenuation of excitation intensity by the biological tissue.
Ultimately these studies provide insights into the practical implementation
of magnetically modulated imaging to selectively identify nanodiamonds
within complex systems.
Methods
Optical Measurements
All fluorescence measurements
were performed on a custom-built microscope system that has been described
previously.[29] Briefly, a 532 nm laser excitation
from a diode laser (Opto Engine LLC-500 mW) is stabilized to an output
of 400 mW using a beam stabilizer (Brockton BEOC-LPC) and then directed
through a 2× beam expander (Thorlabs), through a 532 nm (22 nm
bandwidth) bandpass filter (Semrock FF02-531/22-25) and a dichroic
mirror (Semrock, FF-596-Di01-22 × 36 or Semrock, FF-552-di02
for spectroscopy). The incident light is reflected toward a microscope
objective turret that has a 20× objective (Nikon PlanFluor, 20×
0.5 NA) and a 40× objective (Nikon PlanFluor, 40× 0.75 NA).
The red emission collected by the objective passes through the dichroic
mirror and a 532 nm line reject filter (Semrock NF01-532U-25) to a
tube lens (Thorlabs TTL-200A) that forms a real image. The image is
transferred using a 4f correlator either to the imaging camera (Andor
IXON Ultra 888), to a spectrograph (Andor Shamrock 193i) with an attached
CCD (Andor iStar) for fluorescence spectra, or to an avalanche photodiode
for photon counting (Excelitas SPCM-AQRH-14). The filter configuration
was chosen in order to maximize the NV center emission collected in
our images.Magnetic modulation fluorescence images were collected
using a 20× objective and the imaging EMCCD. Applied magnetic
fields come from a small electromagnet (Uxcell, 12 V 50 N) placed
about 2 mm from the sample surface and powered using a sourcemeter
(Keithley 2425 100 W), which applies a constant current of 0.35 A
for magnet on or 0 A for magnet off. Imaging conditions during exploratory
experiments were optimized to maximize photon counts while minimizing
imaging time. Images collected to compare functionalization effects
were made by accumulating 10 imaging cycles. Each cycle consisted
of a 0.25 s exposure accumulated 20 times with the magnet on and then
a 0.25 s exposure accumulated 20 times with the magnet off. We used
a constant gain setting of 30. Magnet on/magnet off cycles were repeated
10 times. Integration time plus programing delays resulted in total
imaging time of approximately 2.5 min. Fluorescence spectra and modulation
comparisons were measured using the 40× objective sent to the
spectrometer or to the avalanche photodiode, with magnetic fields
applied in the same manner.Experiments were controlled using
a custom-written LabView program
that initializes the EMCCD, applies current to the electromagnet,
and begins image collection. Data were obtained using a sequence of
individual image acquisition, alternating between acquisitions with
the magnet on and those with the magnet off. Image processing, including
loading image files, mathematical operations on images, thresholding,
and statistics, was performed using Igor Pro (WaveMetrics), except
for time-dependent intensity plots, which were generated using FIJI
(ImageJ).[40]Fluorescence spectra
of functionalized diamonds were collected
by drying a drop from suspension onto a coverslip and measured using
a monochromator (Andor Shamrock) with an attached intensified CCD
(Andor iStar). Spectra were collected on a grating with 300 lines/mm
blazed at 300 nm and normalized to their maximum point. Each ligand
type was measured at 3 locations, and their spectra were averaged.
Nanoparticle Functionalization
All chemicals were purchased
from Sigma-Aldrich unless otherwise specified. NVND used in these
studies was purchased from Adamas Nanotechnologies, with an average
diameter of 40 nm. These diamonds are made from diamonds synthesized
by high-pressure, high-temperature methods, followed by NV center
activation and finally conversion to nanometer sizes via mechanical
methods. The resulting nanoparticles can be seen in the scanning electron
micrographs in Figure S1 and are irregular
in shape, with multiple exposure facets. Nanopure water was purified
to 18 MΩ cm using a Barnstead GenPure system.Ligand synthesis
and functionalization procedures have been reported previously[14,20] and are briefly summarized below. The nanodiamond was first hydrogen-terminated
by heating in a tube furnace at 750 °C for 5 h under an atmosphere
of H2 at atmospheric pressure; we used a typical sample
size of 10 mg of NVND. After cooling overnight, the nanoparticles
were transferred into a glovebox for surface functionalization. The
functionalization procedure here was reported previously and consists
of using a radical initiator (benzoyl peroxide) to activate surface
sites on the nanodiamond sample, which then react with the terminal
alkenyl group of the desired reactant molecules. In a nitrogen atmosphere
glovebox, 10 mg of benzoyl peroxide in 1 mL benzene was combined with
either 140 mg of allyl trimethylammonium bromide (yielding C3 quaternary
amine-terminated particles), 140 mg of 11-trimethylammonium-1-undecene
(yielding C11 quaternary amine-terminated particles), or 40 μL
of 4-pentenoic acid (yielding COOH-terminated particles), before drying
over molecular sieves. Each reaction mixture was added to a vial containing
NVND, sealed, and stirred at 80 °C for 3.5 h in an oil bath,
and allowed to cool overnight.After cooling, each solution
was resuspended in 15 mL of benzene,
sonicated, and centrifuged at 4700g for 15 min. This
was repeated twice more in acetone, and three times in Nanopure water,
to ensure particles were cleaned prior to further studies. Finally,
each set of particles was resuspended in 2.5 mL of Nanopure water.
Some particle batches remained somewhat polydisperse after washing
steps and were allowed to settle overnight before separating the supernatant
from the settled pellet. In these cases, the supernatant was used.We measured the hydrodynamic diameter using dynamic light scattering
(DLS) and measured the zeta potential using electrophoretic mobility
measurements, both performed on a Malvern Zetasizer. These measurements
were performed in Nanopure water.Nanoparticle concentrations
were measured gravimetrically by weighing
a known amount of nanodiamond dried from suspension using a microbalance
(Sartorius MSE6.6s). Concentration measurements were performed in
triplicate and averaged.
C. Elegans Culture and Exposure
Wild-type N2 C. elegans and OP50 Escherichia coli were obtained
from the Caenorhabditis
Genetics Center (University of Minnesota, Minneapolis, MN). C. elegans were cultured on OP50-seeded solid nematode
growth medium (NGM) plates at 20 °C following standard protocols.[41]Exposure solutions consisted of 500 μL
of C3, C11, or PA NVND suspended in water at 300 μg/mL (500
μL sterile water for controls), which were each added to 500
μL of the concentrated OP50 bacteria. Each solution was then
vortexed to yield final NVND exposure concentrations of 150 μg/mL.
Exposure plates consisted of 1 mL of each exposure solution added
to a 100 mm NGM plate in triplicate, dried overnight in a fume hood.Synchronized L1 larvae were obtained by bleaching gravid adults
to obtain eggs.[41] These eggs were then
placed on an unseeded NGM plate overnight to synchronize hatched larvae
at the L1 stage. For exposures, synchronized L1 larvae were washed
from this NGM plate using sterile M9 media, pelleted at 2500g 20 °C for 1 min, and resuspended in M9 at 10 larvae
per μL. 100 μL of this solution, or approximately 1000
larvae, were then added to each exposure plate. Three replicates were
exposed to C3, C11, or PA NVND or a water control for 48 h.
C. Elegans Fixation for Imaging
After 48
h total, larvae were washed from exposure plates with
sterile M9, pelleted at 2500g for 1 min, washed 3
times with sterile M9, and fixed in 4% paraformaldehyde for 10 min.
Fixed larvae were then pelleted at 2500g for 1 min,
rinsed 3 times with 1× phosphate-buffered saline, and stored
at 4 °C for further analysis.Fixed C. elegans were imaged by dropping 10 μL of the suspension containing
the organisms along with 10 μL of Nanopure water onto a coverslip.
The wet organisms were sealed between 2 coverslips using clear nail
polish; this procedure allow the organisms to remain in aqueous medium
while minimizing drying and fluid motion.
Results and Discussion
NV centers in the negative charge state contain two unpaired electrons
that result in the formation of a spin-triplet in the ground state
of the NV center.[25] Differences in the
rates of relaxation between the possible pathways result in a more
intense emission from the ms = 0 spin
state compared to the ms = ±1 states.
The dimmer ms = ±1 states are degenerate
and separated from the ms = 0 state by
an energy gap corresponding to a frequency of 2.87 GHz in the absence
of a magnetic field, and the relative populations of these states
are sensitive to external factors like resonant microwaves, spin-noise,
and magnetic fields. We make use of these properties by measuring
the fluorescence of NV-nanodiamond (NVND) in the presence and absence
of a modest magnetic field.
Nanodiamond Functionalization
To
study the effects
of diamond surface functionalization on the uptake and location within C. elegans, we selected three ligand types. Figure a shows the structures
of the ligands, which include a quaternary amine headgroup attached
to a three-carbon linker (C3-QA), a quaternary amine attached to an
eleven-carbon linker (C11-QA), and a pentanoic acid ligand (COOH).
These three ligand types were chosen to represent a range both in
charge, with the quaternary amine headgroups imparting positive charges,
and in ligand length, which have both been shown to affect nanoparticle
outcomes in organisms.[9,11,14,42,43]
Figure 1
(a) Schematic
of the structures of NVND functionalized with the
three ligands described here. (b) Zeta potentials for the H-terminated
nanodiamond (H-Dia) and functionalized nanodiamond (c) hydrodynamic
diameters. Error bars represent standard deviations from 3 (zeta potential)
or 5 (diameter) replicate samples.
(a) Schematic
of the structures of NVND functionalized with the
three ligands described here. (b) Zeta potentials for the H-terminated
nanodiamond (H-Dia) and functionalized nanodiamond (c) hydrodynamic
diameters. Error bars represent standard deviations from 3 (zeta potential)
or 5 (diameter) replicate samples.In previous studies, we established the ability to functionalize
nanodiamonds with these three ligands and characterized their surface
charge and other relevant properties.[14,20,43] Here, we further verified successful functionalization
using zeta potential measurements, which are an indication of the
surface charge of a nanoparticle in the solution. Figure b shows zeta potentials for
H-Dia and the functionalized samples. While the as-received nanodiamond
has a negative zeta potential due to surface carboxylate groups (Figure S2),[44]Figure b shows that after
hydrogen termination, the nanodiamond has a positive zeta potential
of +17 mV. Grafting of long-chain (C11) and short-chain (C3) quaternary
amine-functionalized NVND increases the zeta potential to approximately
+29 mV. This increase in the magnitude of the zeta potential indicates
the presence of more positive charges at the surface, consistent with
the addition of the charged C11-QA and C3-QA ligands. In contrast, Figure b shows that grafting
with pentanoic acid to produce COOH-functionalized NVND yields a zeta
potential of −29 mV; the shift back to a strongly negative
potential is consistent with the presence of deprotonated carboxylic
acid groups terminating this ligand.To ensure comparisons of
the ligand identity are not affected by
drastic size changes, we also measured the hydrodynamic diameter of
the functionalized nanodiamond. Figure c compares the sizes of each functionalized NVND population.
The as-received diamond has a 40 nm core, as confirmed by scanning
electron micrographs and DLS measurements shown in Figures S1 and S2. After functionalization, all ligand types
show a hydrodynamic diameter that is larger than the combination of
the core size and the expected length of the ligands attached, indicating
that some aggregation occurs during functionalization or washing.
While the nanoparticles aggregated, the sizes of the functionalized
nanodiamond to be compared were similar, ranging between 120–170
nm. The DLS and zeta potential measurements show that we successfully
prepared NVND with comparable sizes and with either positive or negative
charges.
Optical Properties of the Functionalized NVND
To ensure
that optical measurements are not significantly affected by the diamond
surface chemistry, we measured the fluorescence properties of the
functionalized NVND. The presence of charges near the NVND surface
could potentially impact the quantum properties of the NV centers
within either by causing charge-state changes[45−48] or by causing a decrease in the
lifetime of the spin-polarized state.[31] To identify any potential effect of surface functionalization on
the NV center charge state, we measured fluorescence spectra of the
functionalized NV nanodiamond. Figure a shows the spectra of each type of functionalized
diamond normalized to the maximum in each spectrum. The fluorescence
emission begins at 575 nm and extends to about 800 nm, which indicates
the presence of NV centers in neutral (NV0) and negative
(NV–) change states. The emission from NV centers
consists of contributions from the neutral NV0 charge state
starting at 575 nm and extending to approximately 700 nm, and contributions
from the negative NV– charge state, which starts
at 637 nm and extends to about 800 nm.[25,49] Each measurement,
which incorporated several nanodiamonds in a field of view, displayed
small variations in the NV0 versus NV– content, but all samples are comparable in the ratio of charge states
present. These spectra imply that NVNDs with a 40 nm NVND core contain
enough NV centers per particle to ensure that even if one or a few
NV centers are near enough to the surface to be affected by the ligands
attached, these changes happen in the context of many NV centers,
limiting their effect on the overall fluorescence of the nanodiamond.
Figure 2
Fluorescence
spectra of functionalized NVND. NV0 charge
state emits from 575 to 700 nm while NV– charge
state emits 638–800 nm. (B) Magnet on–off contrast measured
as an ensemble. Error bars represent the standard deviation of 3 measurements.
Fluorescence
spectra of functionalized NVND. NV0 charge
state emits from 575 to 700 nm while NV– charge
state emits 638–800 nm. (B) Magnet on–off contrast measured
as an ensemble. Error bars represent the standard deviation of 3 measurements.To further identify whether the surface functionalization
impacted
the overall spectroscopic properties of the NVND, we measured the
response of NV– centers in each sample to an applied
magnetic field. If the attached molecules impact the spin lifetimes
of the NV center electrons, the amount that the fluorescence modulates
in a magnetic field may decrease. Figure b shows the percent change in fluorescence
intensity longer than 700 nm (from NV– centers only)
in each sample type under applied magnetic field relative to the zero-field
emission. All three sample types modulate nearly 6% in response to
the magnetic field. The absolute value of this contrast is dependent
on many factors including the illumination intensity and applied magnetic
field strength,[29] but under the same conditions,
a difference in the contrast would indicate material property differences
that may complicate imaging experiments. The consistency of the emission
spectra and response to the magnetic field indicates that NVND functionalization
does not significantly impact NV center fluorescence or quantum properties.
Fluorescence Images of C. Elegans
Figure a shows
a representative fluorescence image of fixed C. elegans that were not exposed to the fluorescent
nanodiamond. The image shows that the fixed organism emits a significant
amount of autofluorescence that enables the identification of the
location of the organism itself and the structures and tissue within.
The images in Figure were collected by accumulating 20 exposures of each image under
an applied magnetic field followed by the same collection in the absence
of a magnetic field, then repeating this on–off cycle 10 times
for a total of 20 image frames. Figure a shows only the first frame of this image cycle, with
the magnetic field applied. A representative image of NVND-exposed C. elegans collected in the same manner and displaying
the first image frame is shown in Figure b. This image displays a similar situation
to the nonexposed organism, in which the organism emits bright autofluorescence
throughout. In the exposed case, however, several small areas of a
brighter emission can be observed, as highlighted in the inset of Figure b.
Figure 3
(a) Fluorescence images
of a representative C. elegans that
was not exposed to NVND; (b) fluorescence image of C. elegans that was exposed to NVND, with inset showing
a localized region of a higher fluorescence intensity. (c) Intensity
change with time in the region denoted by the white dotted line in
panel (a) and the region denoted by the blue dotted lines in panel
(b).
(a) Fluorescence images
of a representative C. elegans that
was not exposed to NVND; (b) fluorescence image of C. elegans that was exposed to NVND, with inset showing
a localized region of a higher fluorescence intensity. (c) Intensity
change with time in the region denoted by the white dotted line in
panel (a) and the region denoted by the blue dotted lines in panel
(b).Over the duration of this image
sequence, the autofluorescence
in the C. elegans photobleaches, decreasing
the number of measured fluorescence counts over time. Figure c shows the average intensity
in each image frame, both for a region of the nonexposed organism
designated in the image by the grey dashed lines (black trace, square
markers) and for a region of the exposed organism designated by the
blue dashed lines (blue trace, round markers). The black trace showing
the region in the control worm demonstrates that this autofluorescence
decreases by about 60% from the first image to the 20th image. The
blue trace shows the change in fluorescence over time of one of the
small bright areas in the organism, demonstrating a smaller decrease
in intensity and a noticeable response to the magnetic field. The
emission in this trace decreases slightly (around 10–15%) over
the 20 image frames and fluctuates during each frame, increasing by
a few percent in the absence of the magnetic field as compared to
the presence of a magnetic field. The smaller magnitude of the decreasing
signal over the imaging time in combination with the ostensible response
to the magnetic field indicates that the small bright spots in the
images of exposed C. elegans are likely
from the NV nanodiamond, while the more diffuse emission throughout
the rest of the organism and in the controls is likely autofluorescence.
Magnetic Modulation for Background Removal
We have
developed a general protocol for imaging and analyzing the locations
and quantities of the NV nanodiamond within the C.
elegans. The process, each step of which is discussed
in more detail below, consists of four main steps: (1) collect fluorescence
images in the presence and absence of a magnetic field at all wavelengths
from 550 nm to the wavelength limit of the CCD (about 900 nm); (2)
subtract the “magnet-on” images from the “magnet-off”
images. Because of a steadily decreasing signal that results from
organism autofluorescence photobleaching over time, a direct subtraction
results in a negative background for organism autofluorescence. This
is accounted for by using a “central difference” subtraction
and averaging, taking the average of the 2 “on” images
before and after each off image to create 1 difference image, then
averaging the results over repeated cycles to yield a final “difference
image;” (3) normalize the difference image to the average of
the “magnet-off” images to show the percentage change
in response to the applied magnetic field (“percent contrast”
image); (4) apply a threshold to the percent contrast image to isolate
the locations of NV nanodiamonds.Figure summarizes the results of using this protocol. Figure a shows representative
fluorescence images of C. elegans that
were exposed to C11-QA-NVND (long chain, positively charged ligand)
as the average of all the “magnet-off” images collected.
The organism itself can be located by its autofluorescence which displays
the outline of the organism and, in some cases, reveals some internal
structures. The head of this organism is in the top left of the image,
and the tail curls back over the rest of the organism near the middle
of the image. In addition to the autofluorescence of structures within
the organism, there are several small brighter spots throughout, which
are presumed to be fluorescent diamond nanoparticles and aggregates.
The NVND appears to remain within the gut, a long tube-like structure
running from the head to the tail of the organism, and in clusters
near what is likely the grinder (a cavity in which food is ground
before passing to the rest of the organism). Some apparent particles
or aggregates are brighter than the autofluorescence from the organism,
as is the case in the example that is traversed by the dashed line
labeled “line 1”. Other particles are of comparable
brightness or obscured by the autofluorescence, as is the case in
the example highlighted in “line 2.”
Figure 4
Images of C. elegans exposed to
NVND. (a) Fluorescence image of C. elegans after exposure to NVND; (b) difference image obtained by subtracting
the magnet-on image from the magnet-off image; (c) percent contrast
resulting from dividing the difference image by the average of the
magnet-on and magnet-off images. (d–i) Line profiles obtained
from the image data along the lines indicated in panel (a).
Images of C. elegans exposed to
NVND. (a) Fluorescence image of C. elegans after exposure to NVND; (b) difference image obtained by subtracting
the magnet-on image from the magnet-off image; (c) percent contrast
resulting from dividing the difference image by the average of the
magnet-on and magnet-off images. (d–i) Line profiles obtained
from the image data along the lines indicated in panel (a).
Identification of the Nanodiamond
In our previous study,
we demonstrated how the magnet-induced modulation of NV fluorescence
helps to increase the selectivity of imaging for the nanodiamond.
As noted above, the raw images of C. elegans show fluorescence both from the nanodiamond and autofluorescence.
This can be seen more clearly by examining intensity profiles, or
line scans, taken along different parts of the image. The path labeled
“Line 1” in Figure a produces the intensity profile shown in Figure d, which passes through
a particularly bright area that can be reasonably assumed to be an
NV nanodiamond within the organism along with a weaker background
that we attribute to autofluorescence. In contrast, the intensity
profile in Figure g along the line labeled “Line 2” passes through both
a bright area of autofluorescence within the organism between 0 and
100 pixels along the trace and a nanodiamond that is emitting a similar
number of photons near 100 pixels along the trace. In this situation,
identification of NVND is qualitatively possible but quantitatively
more difficult and less certain.By applying the magnetic modulation
and image subtraction described above, the confidence with which the
diamond can be identified greatly increases. We imaged the location
shown in Figure a
in the presence and the absence of a magnetic field, subtracted the
results as described above, then averaged over repeated cycles (N = 10) to create the difference image shown in Figure b. The image is displayed
with a color scale from red for negative values to blue for positive
values, with white being zero.The line scans shown in Figure e,h demonstrate the
quantitative advantages of magnetic
modulation for background removal in these images. The line labeled
line 1, passing through the same region as shown in the fluorescence
image, displaying a similar situation in the difference profile in
which the NVND emission is sharp and positive. Notable in the difference
trace, however, is that whereas the NVND signature in the line scan
remains positive, the contribution to the signal from the organism
is now effectively zero. This removal of the nondiamond background
provides a way to qualitatively determine the identity of fluorophores,
as those that remain positive in this imaging configuration can be
reasonably assumed to be from the diamond rather than from autofluorescence.The line scan labeled line 2, which passes through the same dimmer
diamond discussed above, emphasizes the power of the magnetic modulation
technique. While the emissions from the diamond and the organism were
comparable in the fluorescence image, after modulation and image subtraction,
the NVND difference counts are positive while the autofluorescence
emission is removed. This example demonstrates the ability to locate
NVND within C. elegans samples that
have a high autofluorescence background using magnetic modulation
of NV fluorescence.While the difference image is informative
in identifying and locating
the nanodiamond in the context of autofluorescence, normalizing the
difference image by the average intensity yields a “percent
contrast” that provides a more quantitative way of distinguishing
the nanodiamond from other emitters or scatterers. The “percent
contrast” image shown in Figure c shows the NVND intensity percent change in response
to the magnetic field on a pixel-by-pixel basis, shown on a color
scale with positive changes in blue, negative changes in red, and
zero in white. In the case shown, NV centers modulate up to 8% and
are seen as blue areas in the image. The percent contrast scale also
allows for a rapid evaluation of potential artifacts during automated
processing of images; for example, the theoretical maximum modulation
of NV centers is limited to ∼30%,[26] while small negative changes outside of the limits set by Poisson
counting statistics can indicate a problem with the experiment. This
type of problem happens, for example, when the organism moves between
adjacent frames. More generally, the percent contrast value is a more
robust way to conclusively establish that features observed in the
difference images arise from NVND.
Thresholding and NVND Quantification
The quantity of
NVND in an organism can be quantified in two steps: (1) implementing
a thresholding technique to establish whether each individual pixel
in an image corresponds to the fluorescence from NVND, and (2) for
those pixels whose fluorescence is attributed to NVND, using the absolute
value of the fluorescence that is observed as a measure of the amount
of NVND at the location of that pixel.In order to reliably
identify the amount of the diamond present in each organism, we determined
a threshold based on the intensity and fractional contrast measurements
using control samples of C. elegans that were not exposed to NVND but were otherwise prepared and measured
identically to the NVND-exposed organisms described above. We established
a region-of-interest (ROI) around the border of each organism and
extracted the average and standard deviation of the pixels in the
ROI. The average values of intensity within each organism were nearly
zero, ranging from −0.4% at the most extreme to 0.02%, demonstrating
that the image subtraction and normalization are highly effective
at rejecting autofluorescence and scattering from non-NVND sources.
By repeating this analysis using many control organisms, a global
threshold can be identified that represents the upper limit of the
percent contrast that can be expected from the organism’s background.
While, in principle, statistical limits could be identified purely
on the basis of Poisson counting statistics, using experimental control
samples in the manner described above is more robust as it directly
accounts for additional factors such as “hot pixels”
and other non-Poisson sources of noise. Once the threshold is established,
a simple image mask can be applied to determine (1) how many pixels
exceed the threshold, and (2) what is the total fluorescence intensity
from these pixels. The latter quantity is a measure of the amount
of NVND that was taken up and remaining in the organisms at the time
of fixation.Figure shows the
influence of the above processing steps on a typical data set. Figure a shows a conventional
fluorescence image (i.e., without magnetic modulation) of a C elegans that was exposed to NVND nanoparticles
that were functionalized with the C11-QA ligand. Figure b is an enlargement of the
region indicated by the dashed lines. The conventional fluorescence
images in Figure a,b
show that this organism exhibits very little apparent NVND emission
in comparison with the autofluorescence and scattering. Magnetic modulation
and normalization, as described above, yields the percent contrast
image in Figure c,
showing the percent change of fluorescence in response to the applied
magnetic field on a pixel-by-pixel basis. This percent contrast image
shows three regions that appear to have modulation between 1 and 1.5%,
while the rest of the image shows only smaller fluctuations near zero,
appearing as a red and blue speckle. Notably, the outline of the organism
is not detectable in the percent contrast image, demonstrating an
effective removal of the autofluorescence. Measurements using control
samples of nonexposed organisms yielded a standard deviation in a
fractional contrast of σ = 0.324%. We, therefore, set a value
of 0.97% (3σ) as our criterion for the identification of NVND
in each pixel; we anticipate that there is a 99.7% certainty that
values above the threshold are associated with NVND emission. Figure d shows the binary
image that results from applying the 0.97% threshold criterion to
the percent contrast image in Figure c. In Figure d, pixels exhibiting a contrast of >0.97% are white (binary
1) and identified NVND with a >99.7% certainty. The thresholding
establishes
that the three regions of higher modulation are from NV center fluorescence
in diamond nanoparticles, while all other emissions modulated less
than the threshold and were removed.
Figure 5
Fluorescence images and magnetically induced
contrast from a C. elegans that was
exposed to NVND. (a) Fluorescence
image of whole C. elegans; the dotted
region represents the region used for the subsequent analysis in frames
(b–d). (b) Fluorescence image; (c) magnetically induced contrast
of the same expanded region. (d) Threshold mask indicating pixels
above threshold; (e) result of applying the threshold mask to the
percent contrast image, leaving only NVND.
Fluorescence images and magnetically induced
contrast from a C. elegans that was
exposed to NVND. (a) Fluorescence
image of whole C. elegans; the dotted
region represents the region used for the subsequent analysis in frames
(b–d). (b) Fluorescence image; (c) magnetically induced contrast
of the same expanded region. (d) Threshold mask indicating pixels
above threshold; (e) result of applying the threshold mask to the
percent contrast image, leaving only NVND.This mask can be applied in different ways to gain information
about the sample. We generated a threshold-applied percent contrast
image shown in Figure e, which shows that all nondiamond emissions have been removed and
reveals the locations of NVND with no autofluorescence background.
Alternatively, applying the mask to the original fluorescence image
can add to the quantification by showing the total intensity in the
image that comes from NV centers, under the assumption that the local
concentration of NVND is proportional to the intensity of NVND emission
from the corresponding image pixel.
Influence of NVND Functionalization
on Nanoparticle Uptake
As an initial demonstration, we examined
the influence of nanodiamond
surface functionalization on the uptake of NVND by C. elegans, using a model set of positively charged,
negatively charged, and neutral surface ligands. For the purposes
of these experiments, we define uptake to represent any diamond that
is ingested and remains in the organisms at the time of fixation and
imaging. Our analysis of an initial exploratory dataset using this
method suggested that exposing C. elegans larvae to functionalized NVND yielded functionalization-dependent
differences in the organism size and the amount of the nanodiamond
present. We, therefore, designed experiments to measure these differences,
as described in the Methods section. Briefly,
we exposed populations of synchronized C. elegans larvae to the functionalized nanodiamond in triplicate. We used
triplicate control groups to determine a threshold of 0.971% using
the method described above and maintained, as much as possible, the
concentration of the nanodiamond between exposure groups. Images from
each exposure group indicate that the organisms are smaller in size
than our initial dataset and ingested or retained fewer diamond particles.Figure a shows
a histogram of the number of above-threshold pixels obtained for a
total of 108 images (36 images for each functionalization chemistry,
with each image containing a single organism). Most images contain
fewer than 5 pixels above the threshold. Since nanoparticles are discrete
objects, one might anticipate that the number of pixels above the
threshold would follow a Poisson distribution. Attempts to fit histograms
like those in Figure to a Poisson distribution yield unsatisfactory results because while
most images have very few (0 or 1) pixels above the threshold, some
images show a much larger number. We further analyzed the data by
determining the average number of pixels above the threshold in Figure a and by determining
the total integrated intensity of the pixels that were above the threshold
(Figure b) by summing
the raw intensity values of all pixels having a fractional modulation
value that exceeded the threshold. Under the conditions of the experiments
reported here, the differences in uptake between nanoparticles with
different surface functionalization are not distinguishable. This,
in turn, suggests that processes such as nanoparticle aggregation
may be playing an important role in controlling the uptake. Previous
studies comparing the biological impact of positively and negatively
charged nanoparticles in other organisms[8] have reported that aggregation can be an important contributing
factor. Further investigation will be required to fully ascertain
the potential image of nanoparticle functionalization on uptake.
Figure 6
Histogram
showing the distribution of above-threshold pixels observed
from 36 samples of each of the three different functionalization chemistries
used here.
Figure 7
Results of NVND quantitative analysis in C. elegans exposed to the functionalized nanodiamond.
(a) Average number of
pixels in each organism above the threshold. (b) Average intensity
above the threshold. A threshold of 0.971% modulation was used. Error
bars represent 95% confidence intervals based on Gaussian statistics.
Histogram
showing the distribution of above-threshold pixels observed
from 36 samples of each of the three different functionalization chemistries
used here.Results of NVND quantitative analysis in C. elegans exposed to the functionalized nanodiamond.
(a) Average number of
pixels in each organism above the threshold. (b) Average intensity
above the threshold. A threshold of 0.971% modulation was used. Error
bars represent 95% confidence intervals based on Gaussian statistics.
Conclusions
The ability to study
the locations of nanomaterials within organisms
is an important part of understanding the factors that govern nanomaterial
uptake, transport, and potential toxicity. We have presented methods
to reliably quantify and image the locations of nanodiamonds within
the model organism C. elegans. The
methods and analysis presented here demonstrate that magnetic modulation
techniques can be used to isolate the fluorescence emitted by diamond
NV centers even in complex matrices and that this can be used as a
basis for more quantitative analysis of nanoparticle uptake by complex
organisms. While the experiments reported here do not show significant
differences in how nanoparticles with different surface functionalization
are taken up into C. elegans, the methods
implemented here are general and could be applied to quantify the
nanodiamond concentration in other environments and organisms. By
analyzing different collection and workup methods and determining
a statistically justified threshold, we present a method for applying
magnetically modulated imaging for background removal and particle
identification that can add useful information to the study of nanomaterial
biological interactions.
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Authors: Moritz V Hauf; Patrick Simon; Nabeel Aslam; Matthias Pfender; Philipp Neumann; Sébastien Pezzagna; Jan Meijer; Jörg Wrachtrup; Martin Stutzmann; Friedemann Reinhard; José A Garrido Journal: Nano Lett Date: 2014-04-09 Impact factor: 11.189
Authors: Susanta K Sarkar; Ambika Bumb; Xufeng Wu; Kem A Sochacki; Peter Kellman; Martin W Brechbiel; Keir C Neuman Journal: Biomed Opt Express Date: 2014-03-14 Impact factor: 3.732
Authors: Benjamin S Miller; Léonard Bezinge; Harriet D Gliddon; Da Huang; Gavin Dold; Eleanor R Gray; Judith Heaney; Peter J Dobson; Eleni Nastouli; John J L Morton; Rachel A McKendry Journal: Nature Date: 2020-11-25 Impact factor: 69.504