of 13
In vivo
carbon nanotube-enhanced non-invasive photoacoustic
mapping of the sentinel lymph node
Manojit Pramanik
1
,
Kwang Hyun Song
1
,
Magdalena Swierczewska
2
,
Danielle Green
2
,
Balaji
Sitharaman
2
, and
Lihong V. Wang
1
1
Optical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St.
Louis, Missouri 63130, USA
2
Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook,
New York 11794, USA
Abstract
Sentinel lymph node biopsy (SLNB), a less invasive alternative to axillary lymph node dissection
(ALND), has become the standard of care for patients with clinically node-negative breast cancer.
In SLNB, lymphatic mapping with radio-labeled sulfur colloid and/or blue dye helps identify the
sentinel lymph node (SLN), which is most likely to contain metastatic breast cancer. Even though
SLNB, using both methylene blue and radioactive tracers, has a high identification rate, it still relies
on an invasive surgical procedure, with associated morbidity. In this study, we have demonstrated a
non-invasive single-walled carbon nanotube (SWNT)-enhanced photoacoustic (PA) identification
of SLN in a rat model. We have successfully imaged the SLN
in vivo
by PA imaging (793 nm laser
source, 5 MHz ultrasonic detector) with high contrast-to-noise ratio (= 89) and good resolution (~500
μ
m). The SWNTs also show a wideband optical absorption, generating PA signals over an excitation
wavelength range of 740–820 nm. Thus, by varying the incident light wavelength to the near infrared
region, where biological tissues (hemoglobin, tissue pigments, lipids, and water) show low light
absorption, the imaging depth is maximized. In the future, functionalization of the SWNTs with
targeting groups should allow the molecular imaging of breast cancer.
1. Introduction
For the majority of invasive breast cancers, the surgical removal of primary breast tumor and
level I and level II axillary lymph node dissections (ALND) are widely performed (NIH
Consensus Statement 1990). However, the common side effects after ALND include upper-
extremity lymphedema, arm numbness, impaired shoulder mobility, arm weakness, and
infections in the breast, chest, or arm (Swenson
et al
2002). A less invasive, more accurate
alternative to ALND is sentinel lymph node biopsy (SLNB). For patients with clinically node-
negative breast cancer, SLNB has rapidly become the standard of care (Krag
et al
1998,
McMasters
et al
2000). The concept of a sentinel lymph node biopsy assumes that the primary
draining or sentinel node will be the first to contain metastases. The hypothesis is that both the
mammary gland and overlying skin share a common lymphatic pathway to the same axillary
sentinel node. Therefore, intradermal injection of blue dye will lead to the accumulation of the
dye in the sentinel lymph nodes (
Borgstein
et al
1997
). In this surgery, a special blue dye and/
or a radioactive substance is first injected into the breast to determine which lymph nodes are
the first to receive drainage from the breast. These nodes are potentially the first to be invaded
by cancer cells. One to three sentinel nodes are usually removed and tested for cancer. If
E-mail: balaji.sitharaman@stonybrook.edu (CNT), lhwang@biomed.wustl.edu (PA).
NIH Public Access
Author Manuscript
Phys Med Biol
. Author manuscript; available in PMC 2009 August 26.
Published in final edited form as:
Phys Med Biol
. 2009 June 7; 54(11): 3291–3301. doi:10.1088/0031-9155/54/11/001.
NIH-PA Author Manuscript
NIH-PA Author Manuscript
NIH-PA Author Manuscript
cancerous, then all the lymph nodes are removed. This surgery has fewer complications than
axillary node dissection, but the physicians performing the procedure must have special
training. The identification rate and sensitivity of this technique are less than 95%, even in
experienced hands (Krag
et al
1998, McMasters
et al
2000, Ung 2004). Furthermore, the
complications associated with the SLNB procedure include seroma formation, lymphedema,
sensory nerve injury, and limitation in the range of motion (Purushotham
et al
2005). These
limitations of SLNB strongly suggest that alternative strategies to stage the axilla should be
explored.
Axillary ultrasound (AUS) has been proposed as a potential non-invasive technique for
identifying axillary metastases (Krishnamurthy
et al
2002, Deurloo
et al
2003, Brancato
et
al
2004). AUS can visualize the lymph node’s size, shape, and contour, as well as changes in
cortical morphology and texture that appear to be associated with the presence of axillary
metastases. However, the ability of AUS alone to stage the axilla accurately is limited because
the sonographic signs of metastatic disease may overlap with those of benign reactive changes.
On the other hand,
in vivo
identification of a sentinel lymph node (SLN) using photoacoustic
(PA) imaging would allow non-invasive axillary staging, in conjunction with either
percutaneous fine needle aspiration biopsy (FNAB) or other emerging molecular techniques.
Photoacoustic tomography (PAT) (Hoelen
et al
1998, Ku and Wang 2005, Ku
et al
2005,
Zhang
et al
2006, Song and Wang 2007, Song
et al
2008) that combines the advantages of optical
absorption contrast with ultrasonic spatial resolution has emerged as an excellent technique
for non-invasive imaging of biological tissues, offering high spatial resolution and high soft
tissue contrast.
In vivo
PA imaging of SLN in a rat model was also reported using methylene
blue (Song
et al
2008). However, methylene blue does not permit molecular imaging. Recently,
single-walled carbon nanotube (SWNT)-based contrast agents have shown promise for a
variety of imaging techniques. The prospect of SWNTs as a contrast agent for PA imaging was
also reported (Pramanik
et al
2009). In this study, we exploited the intrinsic optical absorbance
(Huges
et al
2007, Berciaud
et al
2007) of carbon nanotubes to develop them as contrast agents,
and used them to perform non-invasive imaging of SLN in a rat model
in vivo
.
2. Methods and Materials
2.1. Photoacoustic Imaging
A reflection-mode PA imaging system (Song and Wang 2007) was used to get the PA
spectroscopy of the SWNTs. A tunable Ti:sapphire laser (LT-2211A, LOTIS TII) pumped by
Q-switched Nd:YAG (LS-2137, LOTIS II) laser was the light source, providing <15 ns pulse
duration and a 10-Hz pulse repetition rate. A dark-field ring-shaped illumination was used
(Maslov
et al
2005). The light energy on the sample surface was controlled to conform to the
American National Standards Institute (ANSI) standard for maximum permissible exposure
(MPE) (ANSI 2000). A 3.5 MHz/5 MHz central frequency, spherically focused (4.95 cm/2.54
cm focus length, 1.91 cm diameter active area element, and 70%/72% bandwidth) ultrasonic
transducer (V380/V308, Panametrics-NDT) was used to acquire the generated PA signals. The
signal was then amplified by a low-noise amplifier (5072PR, Panametrics-NDT), and recorded
using a digital oscilloscope (TDS 5054, Tektronix) with a 50 mega-sampling rate. PA signal
fluctuations due to pulse-to-pulse energy variation were compensated by signals from a
photodiode (DET110, Thorlabs), which sampled the energy of each laser pulse.
A linear translation stage (XY-6060, Danaher Motion) was used for raster scanning to obtain
three-dimensional (3-D) PA data. A computer controlled the stage and synchronized it with
the data acquisition. To shorten the data acquisition time, a continuous scan was used without
signal averaging. An A-line (A-scan) was the PA signal obtained along the depth direction at
a single point. Multiple A-lines (acquired by a one-dimensional (1-D) scan) gave a two-
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dimensional (2-D) B-scan. A 3-D image was acquired with a 2-D scan. A 1-D depth-resolved
image was obtained by multiplying the time axis of the initial A-scan (resolved in time along
the depth direction) by the speed of sound in soft tissue (~1500 m/s).
The scanning time depends on the laser pulse repetition rate (PRR), the scanning step size, and
the field of view (FOV). Typical values are a scanning step size for a 1-D scan = 0.1 mm, for
a 2-D scan = 0.2 mm, a laser PRR = 10 Hz, and a FOV = 20 mm × 20 mm. The acquisition
time = ~25 sec for a B-scan, and = ~42 min for a 3-D image. The transducer was located inside
a water container with an opening of 5 cm × 5 cm at the bottom, sealed with a thin, clear
membrane. The object was placed under the membrane, and ultrasonic gel was used for
coupling the sound.
2.2. SWNTs synthesis
Iron (Fe) was coated onto a silicon wafer using the diblock copolymer template method (Fu
et al
2004
). SWNTs were synthesized using the carbon vapor deposition (CVD) method with
Fe as the metal catalyst (Easy Tube 2000, First Nano). The wafer was placed into a 3 inch
quartz reaction chamber that was heated with Ar at 900°C, hydrogen gas was added for 2
minutes, and methane was fed into the reactor for 20 minutes to grow SWNTs over the Fe
catalyst. The SWNTs were further dispersed in 1 wt% Pluronic® F127 surfactant (1 g of
surfactant in 100 g of deionized water) at the appropriate concentration and sonicated
rigorously to obtain a homogeneous dispersion. To visualize the SWNT structure, transmission
electron microscopy (TEM) was performed (Tecnai12 BioTwinG2, FEI, Hillsboro, OR) at 80
kV on SWNT samples mounted on a 400 mesh copper grid with formvar coating. High
resolution TEM (hrTEM) (JEOL 2000 FX) was also performed at 200 kV for SWNT samples
mounted on a copper grid that was coated with amorphous carbon-holey film. In addition,
atomic force microscopy (AFM) was also performed (MFD-3D-BIO, Asylum Research, Santa
Barbara, CA). A Raman spectrum of the SWNTs was also taken at 633 nm (LabRam Aramis,
Horiba JvonYvon).
2.3. Animal and Drug Information
Guidelines on the care and the use of laboratory animals at Washington University in St. Louis
were followed for all animal experiments. Adult Sprague Dawley rats with various body
weights (250 – 350 g) were used for the experiments. Initial anesthetization of the rat was done
using a mixture of ketamine (85 mg/kg) and xylazine (15 mg/kg). The hair on the region of
interest of the rat was gently removed before imaging, using a commercial hair-removal lotion.
Intradermal injection of 0.075 ml of 0.5 mg/ml SWNTs was performed on a left/right forepaw
pad, depending on which side was imaged. PA images were acquired after the administration
of SWNTs. During the image acquisition, anesthesia was maintained using vaporized
isoflurane (1 L/min oxygen and 0.75% isoflurane, Euthanex Corp.), and a pulse oximeter
(NONIN Medical INC., 8600V) was used to monitor the vitals. If needed, 8 ml of 0.9% saline
was administered to the rat for hydration. After image acquisition, the animal was euthanized
by pentobarbital overdose.
3. Results and Discussions
3.1. Characterization of SWNTs
Figure 1 shows the TEM, hrTEM, and Raman spectroscopy of the synthesized SWNTs used
in this study. These images were used to characterize the SWNTs. Figures 1(a) and 1(b) show
low-resolution bright field TEM and the hrTEM images of the SWNTs, respectively. These
two figures confirm the growth of SWNTs with an approximate diameter of 2 nm. Figure 1(c)
shows an AFM image, which confirms that the SWNT diameters were consistent with the
diameters observed in the hrTEM image. Figure 1(d) shows the Raman spectrum of the SWNTs
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at 633 nm. The Raman spectrum shows the G band at 1592 cm
1
and the D band at 1315
cm
1
. The G band is a peak specific to graphene, while the D band indicates defects on the
graphene sheet. The low D band to G band ratio signifies few defects in the SWNT sample.
The radial breathing modes, which occur in the presence of small diameter tubes of a single
graphene layer, can be viewed within the inset, and further confirm that these samples were
SWNTs (Dresselhaus
et al
2005).
3.2. Photoacoustic spectroscopy of SWNTs
Blood is a dominant optical absorber in the human body and produces strong PA signals.
Therefore, the PA signal from SWNTs was compared with that from blood to show that,
SWNTs are capable of generating PA signals comparable to or stronger than that of a known
absorber in the body in the near infrared (NIR) wavelength window. Figure 2(a) shows the PA
signals obtained from a tygon tube (I.D. 250
μ
m, O.D. 500
μ
m) filled with SWNTs (0.25 mg/
ml) and rat blood. The laser was tuned to 764 nm wavelength. At this excitation wavelength,
the peak-to-peak PA signal amplitude obtained from SWNTs was ~600 mV, compared to a
~170 mV peak-to-peak PA signal amplitude from blood alone. Figure 2(b) shows the PA
spectrum (peak-to-peak PA signal amplitude versus excitation light wavelength) of the SWNTs
(in black) for an excitation wavelength range of 740–820 nm. The PA spectrum of rat blood
(in red) is also shown in the same figure. It is evident that the PA signal obtained from SWNTs
is much stronger than that of blood over the entire wavelength range. Therefore, one can choose
a specific light wavelength for imaging within a broad range. Figure 2(c) plots the ratio of the
peak-to-peak PA signal amplitude of SWNTs to that of blood between 740 and 820 nm. The
PA signal from the tygon tube filled with SWNTs is more than four times stronger than that
from blood at 750 nm. Over the entire 740–820 nm window, the PA signal from SWNTs is
more than two times stronger than that from blood. Due to the weak blood absorption, the NIR
window is well known for providing deep tissue PA imaging at the expense of blood contrast.
The strong PA signal from SWNTs in the NIR region implies that they could be used as contrast
agents to boost the signal strength for PA imaging in this region.
3.3. Deep tissue imaging
The sensitivity of the PA imaging system was determined from chicken tissue phantom
experiments, used to mimic human breast tissue (
Song
et al
2008
). The light source was tuned
to 793 nm wavelength. A tube (Silastic® laboratory tubing, Dow Corning Corp.) with 1.47
mm I.D. was placed between two layers of chicken breast tissue. The tube was filled with 1
mg/ml SWNTs. The thickness of the tissue layer on top of the tube was ~20 mm. Figure 3(a)
shows the maximum amplitude projection (MAP) (Zhang
et al
2006) image of the tube. The
tube is clearly seen in the image, with a high contrast-to-noise ratio (CNR) of 25. Figure 3(b)
shows the B-scan PA image (along the dotted line in figure 3(a)). The bright spot in the B-scan
represents the PA signal generated from the tube filled with SWNTs. Figure 3(c) shows the A-
line PA signal (along the dotted line in figure 3(b)), clearly showing the strong PA signal from
the tube filled with SWNTs compared to the weak signal from the surrounding chicken breast
tissue. These results prove that use of SWNTs as a contrast agent enables tissue imaging more
than 20 mm deep. For human studies, the depth of imaging is very important, as the mean depth
of SLNs is 12±5 mm (distance from the skin surface to the top surface of SLN) (
Margenthaler
2007). Therefore, the ability to image more than 20 mm deep with high CNR and high
resolution is a key for mapping SLN non-invasively.
3.4. Sentinel lymph node imaging non-invasively in a rat in vivo
Adult Sprague Dawley rats with various body weights (250 – 350 g) were used for the
experiments. The hair on the axillary region of the rat was removed and a PA image was taken.
This image was a control image for comparison with future images. An intradermal injection
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of 0.075 ml of 0.5 mg/ml SWNTs was performed on the forepaw pad. Four PA images were
acquired at intervals of 25–30 minutes after the SWNTs injection. For all the PA images, the
following parameters were used: FOV = 25 mm × 30 mm, step size along the X direction =
0.2 mm, step size along the Y direction = 0.4 mm, total scan time = ~23 minutes. Please note
that no signal averaging was done for any of these images. The images shown here are cropped
to a FOV of 16 mm × 24 mm, since the outside region was not of interest.
Figure 4(a) shows a representative digital photograph of a rat taken prior to image acquisition,
and figure 4(b) shows the shaved axillary surface where the PA imaging was performed. Before
the SWNTs injection, a PA control image was obtained, which is shown in the form of a MAP
(Zhang
et al
2006) in figure 4(c). The vasculature near an axial node (one blood vessel is marked
as BV) was clearly imaged, with a high CNR of ~79 and good resolution of ~500
μ
m. Note
that no lymph nodes are visible in the control image, since there is no intrinsic optical absorption
in lymph nodes to produce any PA signal to image. Figure 4(d) shows the PA image (MAP)
of the same area immediately after the SWNTs were injected, approximately 30 min after the
control image was taken. Figures 4(e), 4(f), and 4(g) are the post-injection PA images (MAP)
of the same area 30 min, 55 min, and 85 min after the SWNTs injection. The SLN appears at
the left lower quadrant, marked as SLN in figure 4(f), and is clearly visible in all the post-
injection PA images (Figures 4(d), 4(e), 4(f), and 4(g)). The images show high CNRs (74 in
figure 4(d), 67 in figure 4(e), 84 in figure 4(f), and 89 in figure 4(g)). The contrast of the SLN
to the surrounding blood vessel was up to 1.8 (ratio of the peak-to-peak PA signal amplitude
obtained from SLN and BV) after SWNTs injection. The signal amplitude of the surrounding
blood vessels was also increased by up to ~124% compared to that in the control image (94%
in figure 4(d), 110% in figure 4(e), 124% in figure 4(f), and 105% in figure 4(g)), although the
CNR remained almost the same. This increase in signal amplitude suggests that the SWNTs
have traveled into the blood stream and the nearby tissues boosting the blood vessel signal as
well as the background signal. Figure 4(h) is a digital photograph of the same rat with the skin
removed after the completion of the PA imaging. Figure 4(i) is a digital photograph of the SLN
removed from the rat (arrow in figure 4(i)). The photograph shows the SLN size to be 2–3 mm,
matching the size obtained from PA images (Figures 4(d) to 4(g)).
Figure 5(a) shows the uptake kinetics of the SWNTs. An increased PA signal was observed in
both blood vessels and SLN during the first 30 minutes post injection, with the SLN showing
a greater increase than blood vessels at all time points. Subsequently, the PA signal in the blood
reached a plateau while the PA signal in the SLN kept increasing. These results further
corroborate the imaging data presented in figure 4, where increase in signal intensities were
observed post injection from both SLN and BV, but the intensity from SLN was stronger
compared to the nearby blood vessels. The stronger signal is due to the strong light absorption
of SWNTs compared to blood, and to the greater accumulation of SWNTs in the lymph node
than in the surrounding blood vessels. Figures 5(b) and 5(c) show the B-scan PA images
corresponding to the dotted lines marked in figures 4(c) and 4(f), respectively. The bright spot
in figure 5(c) represents the strong PA signal from the SLN, which is not present in the pre-
injection B-scan (Figure 5(b)). Figures 5(d) and 5(e) show the A-line PA signals corresponding
to the dotted lines in figures 5(b) and 5(c), respectively. The strong PA signal obtained from
the SLN is clearly seen in figure 5(e), whereas there is no such signal in the control image
(Figure 5(d)). We used a 0.5 mg/ml concentration of SWNTs for our
in vivo
study (the average
molecular weight of SWNTs is ~10
6
Da or g/mol; 0.5 mg/ml = 0.5 mg/ml/10
6
g/ml = 500 nM).
However, that choice does not limit the use of SWNTs at other lower concentrations (De La
Zerda A
et al
2008). Our system is capable of detecting SWNTs on the order of nM
concentration (Pramanik
et al
2009).
Our results show that non-invasive
in vivo
PA imaging for SLN identification with the use of
SWNTs as a contrast agent is highly feasible in a small animal model. Moreover, the PA
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imaging technique used here to image rat SLN can easily be translated to humans. Although,
SLN mapping using different contrast agents, e.g., carbon nanotubes, gold nanocages, gold
nanorods, and methylene blue dye, has been done successfully, we believe SWNTs have many
advantages over the other materials. The broad absorption spectrum of SWNTs will provide
us a wide range of light wavelengths for imaging. Most of the other contrast agents have narrow
absorption spectra, restricting their use to a particular wavelength. SWNTs also show good
efficacy as contrast agents for thermoacoustic imaging (Pramanik
et al
2009). In the future,
thermoacoustic tomography can also be combined with PA imaging system for SLN mapping.
Targeted SWNTs could also be used for more specific identification. Our previous PA studies
demonstrated that SWNTs produce a PA signal at concentrations as low as 0.1 mg/ml
(Pramanik
et al.
2009). Using a 0.5 mg/ml concentration of SWNTs, we have obtained very
high CNR sentinel lymph node images (CNR = ~90), thus it can be inferred that we could
detect SWNTs at concentrations as low as 0.01 mg/ml. Assuming the SWNTs have an average
diameter of 2 nm and average length of 1
μ
m, there should be ~ 10
5
carbon atoms in one SWNT,
as derived by Yamamoto
et al
2005, and a SWNT has a molecular weight of ~1.2 × 10
6
g/mol.
Using these values, SWNTs should act as contrast agents in human blood at concentrations as
low as 8 nM (0.1/1.2 × 10
6
). SWNTs can also be functionalized in order to target specific
tissues and to increase the SWNTs blood circulation time. This would prevent the SWNTs
from being diluted in the human bloodstream for periods long enough to perform PA imaging.
Currently, this imaging system is limited by its slow scanning speed. Employing a higher pulse-
repetition-frequency laser and an ultrasound array system could accelerate acquisition,
potentially allowing real-time PA imaging (Yin
et al
2004, Zeng
et al
2004, Yang
et al
2005). The
in vivo
biocompatibility of SWNTs needs to be thoroughly examined before its
translation for clinical use. Nevertheless, since SLN identification by PA imaging is totally
non-invasive and safe, it shows potential future clinical applications without the limitations of
current invasive and minimally-invasive techniques.
4. Conclusions
We have shown that the PA signal from SWNTs is stronger than that of blood over the NIR
wavelength window (740–820 nm) and demonstrated a non-invasive SWNTs-enhanced PA
identification of SLN in a rat model
in vivo
with a high contrast-to-noise ratio (CNR = 89) and
good resolution (~500
μ
m). We have also shown the possibility of deep tissue imaging (20 mm
deep) using SWNTs as contrast agent. Our results suggest that this technology could be a useful
pre-clinical and possibly clinical tool to identify SLNs non-invasively
in vivo
. In the future,
the identification rate of node-negative breast cancer could be improved by functionalization
of the SWNTs with targeting groups.
Acknowledgments
This work was supported by National Institutes of Health grants (R01 EB000712, R01 NS46214 (Bioengineering
Research Partnerships), R01 EB008085, and U54 CA136398 (Network for Translational Research) - LVW) and the
Office of the Vice President of Research at Stony Brook University, Carol M. Baldwin fund (SB). L.W. has a financial
interest in Endra, Inc., which, however, did not support this work. The authors would like to thank Dr. Oleg Gang and
Dr. Huming Xiong at the Center for Functional Nanomaterials, Brookhaven National Laboratory for access to the
AFM, Mr. Tom Salagaj and Mr. Christopher Jensen at FirstNano/CVD Equipment Corporation for access to their
CVD facilities and Dr. Eunah Lee at Horiba JvonYvon, Edison, NJ for the Raman Spectroscopy measurements.
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Figure 1.
SWNT characterization. (a) TEM and (b) hrTEM image of the SWNTs produced by the Fe
catalyst. (c) AFM image of the SWNTs produced by the Fe catalyst, confirming the nanotube
diameter of 2 nm. (d) A Raman spectrum of the SWNT obtained at 633 nm. The G band is at
1592 cm
1
, while the D band is found at 1315 cm
1
. The radial breathing modes occur between
100 and 350 cm
1
(see inset).
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Figure 2.
(a) PA signals generated from a tygon tube (I.D. 250
μ
m, O.D. 500
μ
m) filled with SWNTs
(0.25 mg/ml) and rat blood. The excitation optical wavelength is 764 nm. (b) PA spectra of
SWNTs and blood over a 740–820 nm range of NIR wavelengths. (c) Ratio of the peak-to-
peak PA signal amplitudes generated from SWNTs to those generated from blood.
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Figure 3.
(a) Maximum Amplitude Projection (MAP) image of a tube (Silastic® laboratory tubing, Dow
Corning Corp., with 1.47 mm I.D.) filled with SWNTs (1 mg/ml) placed inside chicken breast
tissue. The tube was placed 20 mm below the top surface of the tissue. The PA image clearly
shows the tube, with a CNR of 25. (b) PA B-scan image along the dotted line in figure 3(a),
with the bright spot showing the PA signal originating from the tube filled with SWNTs. (c)
Photoacoustic A-line along the dotted line in figure 3(b).
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Figure 4.
Non-invasive
in vivo
PA images (MAP) of the SLN in a rat. For all PA images, the laser was
tuned to 793 nm wavelength. (a) Photograph of the rat. (b) Photograph of the rat after the hair
was removed from the scanning region before taking the PA images. The scanning region is
marked with a black dotted square. (c) Control PA image acquired before SWNTs injection.
Bright parts represent optical absorption, here, from blood vessels (BV). (d) PA image (MAP)
acquired immediately after the SWNTs injection. (e) 30 min post-injection PA image. (f) 55
min post-injection PA image. (g) 85 min post-injection PA image. Blood vessel (BV) and
sentinel lymph node (SLN) are marked with arrows, and the SLN is visible in all images except
the control image. (h) Photograph of the rat with the skin removed after PA imaging. (i) The
excised lymph node. For Figures 4(c) to 4(g): FOV = 25 mm × 30 mm, step size along the X
direction = 0.2 mm, step size along the Y direction = 0.4 mm, total scan time = ~23 minutes.
No signal averaging was used. Only a FOV of 16 mm × 24 mm is shown.
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Figure 5.
(a) Peak-to-peak PA signal amplitude obtained from SLN and blood vessel (BV) over time.
The SWNTs were injected 30 min after the control scan. (b) PA B-scan image corresponding
to the dotted line in figure 4(c), the control image. (c) PA B-scan image corresponding to the
dotted line in figure 4(f), image showing the SLN. The bright spot represents the PA signal
generated from the SLN. (d) A-line PA signal corresponding to the dotted line in (b). (e) A-
line PA signal corresponding to the dotted line in (c), showing the strong PA signal generated
from the SLN.
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