Open Access
8 June 2016 Grueneisen relaxation photoacoustic microscopy in vivo
Author Affiliations +
Funded by: National Institutes of Health (NIH), National Institutes of Health, NIH, National Institute of Health, National Academies Keck Futures Initiative grant IS 13, and National Institutes of Health, National Institute of Health (NIH), US National Institutes of Health (NIH), National Institute of Health or Wellcome Trust, NIH Director’s Pioneer Award, (NIH Director’s Pioneer Award), NIH Director’s Transformative Research Award, (NIH Director’s Transformative Research Award), BRAIN Initiative, National Institutes of Health grants
Abstract
Grueneisen relaxation photoacoustic microscopy (GR-PAM) can achieve optically defined axial resolution, but it has been limited to ex vivo demonstrations so far. Here, we present the first in vivo image of a mouse brain acquired with GR-PAM. To induce the GR effect, an intensity-modulated continuous-wave laser was employed to heat absorbing objects. In phantom experiments, an axial resolution of 12.5  μm was achieved, which is sixfold better than the value achieved by conventional optical-resolution PAM. This axial-resolution improvement was further demonstrated by imaging a mouse brain in vivo, where significantly narrower axial profiles of blood vessels were observed. The in vivo demonstration of GR-PAM shows the potential of this modality for label-free and high-resolution anatomical and functional imaging of biological tissues.

1.

Introduction

Photoacoustic microscopy (PAM), based on the photoacoustic effect, is a hybrid imaging modality that acoustically detects the optical absorption contrast in biological tissues.1 PAM can provide both anatomical and functional information about biological systems by probing a wide variety of endogenous contrast agents, such as hemoglobin, melanin, DNA/RNA, and lipids.27 With tightly focused light, PAM can achieve optical diffraction-limited lateral resolutions down to the submicron scale.2 This optical-resolution PAM (OR-PAM) enables in vivo functional imaging of blood vessels down to the capillary level. However, the axial resolution of conventional OR-PAM, which is determined by the frequency bandwidth of the detectable ultrasonic signal from a targeted depth in tissue and the speed of sound (SOS), is typically one order of magnitude worse than its lateral resolution.8 Increasing the frequency bandwidth of the ultrasonic transducer (UT) can improve the axial resolution in conventional OR-PAM, at the expense of tissue attenuation of high-frequency photoacoustic (PA) signals.9,10 Reducing the SOS can also improve the axial resolution but often necessitates disturbing the original biological environment.11 In addition, a multiview OR-PAM, which images the sample from multiple view angles and then reconstructs the image with a multiview deconvolution method, has been proposed to realize three-dimensional (3-D) optical resolution.12 However, it was demonstrated only in (semi-)transparent samples, such as zebra fish.

Micron and submicron axial resolutions have been achieved in OR-PAM by exploiting several nonlinear effects, such as transient absorption,13 photobleaching,14 and Grueneisen relaxation (GR).15 However, all of these nonlinear effects have been limited to ex vivo imaging of red blood cells, and no in vivo imaging has been demonstrated thus far, despite its importance in biomedical studies.

In this paper, we demonstrate in vivo GR-PAM. To generate the GR effect, an intensity-modulated continuous-wave (CW) laser was used to heat absorbing objects. With its optical-sectioning capability, GR-PAM demonstrated an axial resolution of 12.5  μm, which is determined by the depth of focus of the laser beam. This axial-resolution improvement was first demonstrated by imaging a human hair phantom and then by imaging bovine blood in a plastic tube. The blurring of the hair and the tube along the axial direction in the PA images were significantly diminished. We then applied GR-PAM to image mouse brains in vivo and observed narrower axial profiles of blood vessels. This in vivo demonstration of GR-PAM shows its potential for label-free and high-resolution anatomical and functional imaging of biological tissues.

2.

Methods

GR-PAM relies on the nonlinear GR effect, which describes the Grueneisen parameter change induced by heating absorbers with light emitted from a pulsed laser or an intensity-modulated CW laser.15,16 As the temperature rises, the Grueneisen parameter, which exhibits an approximate linear dependence on the temperature, increases and results in a stronger PA signal.17 The original experimental process to obtain PA signals with the GR effect was fully described in our previous study.15 Briefly, two identical laser pulses are delivered to absorbers sequentially with a submicrosecond delay. The first laser pulse generates a PA signal and simultaneously heats the absorber. Within the thermal relaxation time of the first pulse excitation out of the voxel, the second laser pulse excites the heated absorber, which generates a stronger PA signal than the first, based on the GR effect.

For the first laser pulse, with an optical fluence of F1(x,y), the generated initial pressure rise p1(x,y) can be expressed as

Eq. (1)

p1(x,y)=Γ0ηthμa(x,y)F1(x,y),
where Γ0 is the Grueneisen parameter at the initial temperature and depends on the local temperature of the absorber, ηth is the heat conversion efficiency, and μa(x,y) is the optical absorption coefficient. Within the thermal relaxation time of the heating from the first laser pulse, the second laser pulse, with an optical fluence of F2(x,y), generates another initial pressure rise p2(x,y):

Eq. (2)

p2(x,y)=[Γ0+Gηthμa(x,y)F1(x,y)]ηthμa(x,y)F2(x,y),
where G is a coefficient that relates the change of the Grueneisen parameter to the absorbed energy from the first laser pulse. The GR-PAM signal Δp(x,y) is obtained by subtracting p1(x,y) from p2(x,y). If two identical laser pulses [F1(x,y)=F2(x,y)=F(x,y)] and a planar target with uniform μa(x,y) [μa(x,y)=μa] are considered, the GR-PAM signal Δp(x,y) can be written as

Eq. (3)

Δp(x,y)=p2(x,y)p1(x,y)=Gηth2μa2F(x,y)2,
which shows a quadratic dependence on the optical fluence of the laser pulse. This nonlinear relationship, analogous to other nonlinear microscopies, such as two-photon fluorescent microscopy18 and two-photon absorption-induced PAM,19,20 can significantly improve the axial resolution of GR-PAM. In this work, an intensity-modulated CW laser, instead of a nanosecond pulsed laser as in Ref. 13, was used for heating absorbers because the CW laser is much less expensive.

3.

Experimental Setup

Figure 1(a) shows a schematic of the GR-PAM system. Light from a diode-pumped solid-state pulsed laser (532 nm, 10-ns pulse duration, Innoslab BX2II-E, Edgewave) and a CW laser (532 nm, MLL-III-532, Changchun New Industries) is combined and focused by an objective lens with a numerical aperture (NA) of 0.3. The light, with a focal spot diameter of 1  μm, is then delivered to the sample. Light beams from the two lasers are adjusted to be confocal for generating the maximum nonlinear PA signals. The intensity of the light from the pulsed laser is monitored with a photodiode (SM05PD1A, Thorlabs) to compensate for intensity fluctuations. Figure 1(b) shows the time sequence of the pulsed laser, CW laser, and PA signals. The pulsed laser generates a 1-kHz-repetition-rate dual-pulse train. In each train, the first pulse is triggered to generate a baseline PA signal before the CW laser heating [PA1 in Fig. 1(b)]. The second pulse is triggered at the end of the CW laser heating to create a stronger PA signal induced by the GR effect [PA2 in Fig. 1(b)]. The time interval between the two pulses is 100  μs. The CW laser, which serves as the heating source, is intensity modulated with a frequency of 1 kHz and has an illumination duration of 30  μs. Since the estimated thermal relaxation time for a 1-μm diameter optical heating spot is much less than the 1-ms period of the CW laser,21 the thermal heating generated by the CW laser in each period can dissipate with negligible influence on the next period. The generated PA signals are detected by a focused UT (V324SU, Olympus) with a central frequency of 25 MHz and then amplified by 50  dB (ZFL-500LN+, Minicircuits). The amplified signals are collected by a data acquisition (DAQ) unit with a sampling rate of 500 MHz (ATS9350, AlazarTech). As shown in Fig. 1(a), the UT is placed at the side of the sample, orthogonal to the direction of light delivery. This orthogonal configuration needs no complicated prism and lens for acoustic-optical coaxial alignment.22 To maximize PA signals, the acoustic focus is adjusted to be confocal to the light focus. During imaging, both the laser light and the UT are kept static, and only the sample is scanned in 3-D with a three-axis motor stage (PLS-85, PI miCos). At each imaging position, the difference between the peak-to-peak values of the two PA signals [PA1 and PA2 in Fig. 1(b)] is extracted as the GR-PAM signal for image reconstruction. It should be pointed out that 3-D scanning instead of 2-D scanning is needed for the GR-PAM to acquire a 3-D image, because only the peak-to-peak value of the time-resolved PA signal at each focal position is extracted for image reconstruction. The 3-D image from conventional OR-PAM is also acquired by 3-D scanning to avoid optical defocusing, with the peak-to-peak value of the time-resolved PA signal from the first laser pulse (PA1) used for image reconstruction. In the rest of this paper, this method is referred to as 3-D-scanning conventional OR-PAM. Currently, the imaging speed of GR-PAM is limited by the laser repetition rate of 1 kHz. For a volume of 200×200×100  pixels, the imaging time for GR-PAM is 2.2 h. The imaging speed can be greatly improved by using a laser with higher repetition rate.

Fig. 1

(a) Schematic of the experimental setup of the GR-PAM system. AMP, amplifier; C1 and C2, condenser lenses; CW laser, continuous-wave laser; DAQ, data acquisition unit; IR, iris; M1, M2, M3, and M4, mirrors; ND, neutral density filter; OL, objective lens; PC, computer; PD, photodiode; PH, pinhole; UT, ultrasonic transducer; 3-D, three-dimension. (b) Diagram of the time sequence of the pulsed laser, CW laser, and PA signals.

JBO_21_6_066005_f001.png

4.

Results

As mentioned previously, the resolution improvement in GR-PAM results from the quadratic dependence of PA signals on the incident optical fluence. The lateral resolution was measured by scanning across a sharp metal edge. Figure 2(a) shows the edge spread functions (ESFs) of GR-PAM and 3-D-scanning conventional OR-PAM. For 3-D-scanning conventional OR-PAM, the ESF was calculated directly from the PA signal generated by the first excitation pulse without CW laser heating [PA1 in Fig. 1(b)]. The line spread function (LSF) was then obtained from the derivation of the ESF. The lateral resolution was qualified by the full width at half maximum (FWHM) value of the LSF [inset of Fig. 2(a)]. GR-PAM has a lateral resolution of 0.7  μm, which is 1.4 times better than the value of 1.0  μm for 3-D-scanning conventional OR-PAM, and is close to the theoretical improvement factor of 2.15 The axial resolution of GR-PAM was quantified by imaging a thin layer of black ink coated on a cover glass. From the LSFs, the measured axial resolution of GR-PAM was 12.5  μm, which is close to the theoretical value of 10.6  μm estimated from the optical depth of the focus (Ld) given by Ld=1.8  λo/NA2, where λo is the laser wavelength and NA is the numerical aperture of the objective.15 This value is 6.4 times better than that measured by 3-D-scanning conventional OR-PAM (80  μm), as plotted in Fig. 2(b).

Fig. 2

(a) Lateral profiles of a sharp metal edge measured by GR-PAM and 3-D-scanning conventional optical-resolution microscopy (OR-PAM). The values of FWHM of the profiles from GR-PAM and 3-D-scanning conventional OR-PAM are 0.7 and 1.0  μm, respectively. (b) Axial profiles of a thin layer of ink acquired by GR-PAM and 3-D-scanning conventional OR-PAM. The FWHMs of the profiles from GR-PAM and 3-D-scanning conventional OR-PAM are 12.5 and 80  μm, respectively. ESFs, edge spread functions; LSFs, line spread functions.

JBO_21_6_066005_f002.png

The optically defined axial resolution of GR-PAM was demonstrated by imaging a human hair phantom. Figures 3(a) and 3(b) are images of the phantom captured by GR-PAM and 3-D-scanning conventional OR-PAM, respectively. Two hairs of the phantom were imaged, one along the y-axis and the other in the x-z plane crossing atop the first one, as illustrated by the dashed box in Fig. 3(e). The hair image from 3-D-scanning conventional OR-PAM is severely blurred due to the inferior acoustically determined axial resolution. Figures 3(c) and 3(d) show, respectively, the maximum amplitude projection (MAP) images along the x-axis of the volume-rendered PA images in Figs. 3(a) and 3(b). The profiles of the hairs along the dashed lines in Figs. 3(c) and 3(d) are plotted in Fig. 3(f). The diameter of the hair measured by 3-D-scanning conventional OR-PAM was 140  μm. In contrast, the diameter of the same hair measured by GR-PAM was 85  μm, which is much closer to the value of 84  μm measured by an optical microscope. As a result, the measured diameter of the hair structure along the z-axis is significantly reduced in GR-PAM, owing to its optical-sectioning capability.

Fig. 3

(a) 3-D volume-rendered PA images of a hair phantom from GR-PAM and (b) 3-D-scanning conventional OR-PAM. FOV, field of view. (c) Schematic configuration of the hair phantom experiment. The dashed box indicates the imaged area of the phantom. UT, ultrasonic transducer. (d) and (e) are MAP images along the x-axis of the volume-rendered PA images in (a) and (b), respectively. (f) Profiles of the hair along the dashed lines in (d) and (e).

JBO_21_6_066005_f003.png

To mimic blood vessels, we imaged bovine blood in a plastic tube with an inner diameter of 100 μm. Figures 4(a) and 4(b) show 3-D images of the tube acquired by GR-PAM and 3-D-scanning conventional OR-PAM, respectively. The shadow of the tube along the z-axis is reduced, similar to the situation for the previous hair phantom. Figures 4(c) and 4(d) show B-scan images of the tube in the x-z plane at the position y0, as indicated in Figs. 4(a) and 4(b), respectively. By plotting the profiles along the z-axis at the position denoted by the dashed line in Figs. 4(c) and 4(d), the fitted diameter from GR-PAM, as shown in Fig. 4(e), is 107  μm. This value is much closer to the actual value of 100  μm than the diameter of 160  μm from 3-D-scanning conventional OR-PAM.

Fig. 4

(a) 3-D volume-rendered PA images of a blood-filled tube from GR-PAM and (b) 3-D-scanning conventional OR-PAM. (c) and (d) are B-scan images at the position y0, as indicated by the dashed box in the volume-rendered PA images in (a) and (b), respectively. (e) Profiles of the blood-filled tube along the dashed lines in (c) and (d).

JBO_21_6_066005_f004.png

We then imaged the brain of a female ND4 Swiss Webster mouse (Harlan Laboratory Inc., Indianapolis) in vivo. All procedures for the animal experiment were carried out in accordance with the laboratory animal protocol approved by the Animal Studies Committee at Washington University in St. Louis. The mouse scalp was removed but the skull was kept intact. During the experiment, the pulse energy from the pulsed laser was 0.5  μJ, and the average power for the modulated CW laser was 20 mW. For the modulated CW light with a duration of 30  μs, the energy delivered within each modulation period was 0.6  μJ. Below the skull with a thickness of 150  μm,23 the combined optical fluence of the pulsed and CW laser on the brain surface was 16  mJ/cm2, which is within the American National Standards Institute (ANSI) safety limit (20  mJ/cm2). For this optical fluence, the maximum amplitude of the PA signal with laser heating (PA2) was about 10% greater than the PA signal (PA1) without heating at the same position, which corresponds to a temperature increase of 3°C.16 Figures 5(a) and 5(b) show the mouse brain images from GR-PAM and 3-D-scanning conventional OR-PAM, respectively. Because GR-PAM reconstructs the image from the difference of PA signals generated with and without CW laser heating, the signal-to-noise ratio of GR-PAM is nearly 4 times lower than that of 3-D-scanning conventional OR-PAM. Thus, the image contrast-to-noise ratio of GR-PAM is generally inferior to that of 3-D-scanning conventional OR-PAM, as shown in Fig. 5(b). Figures 5(c) and 5(d), respectively, show the GR-PAM and 3-D-scanning conventional OR-PAM images obtained by averaging five adjacent B-scan images at the location indicated by the dashed lines. From the profiles along the dashed lines in Figs. 5(c) and 5(d), the axial diameters of two blood vessels fitted from GR-PAM are 150 and 74  μm, much smaller than that measured by 3-D-scanning conventional OR-PAM (266 and 132  μm), as shown in Figs. 5(e) and 5(f). Currently, the wavelength of the laser used is 532 nm, and the maximum imaging depth for our GR-PAM is around 500  μm in our in vivo experiments. For deeper imaging, a red or near-infrared laser should be employed.24

Fig. 5

(a) In vivo mouse brain images acquired by GR-PAM (b) and 3-D-scanning conventional OR-PAM. (c) B-scan images from GR-PAM and (d) 3-D-scanning conventional OR-PAM obtained by averaging five adjacent B-scans at the location indicated by the dashed lines in (a) and (b), respectively. (e) and (f) are the blood vessel profiles along the dashed lines in (c) and (d), respectively.

JBO_21_6_066005_f005.png

The acquisition time for a 3-D image with a volume of 200×200×100  pixels is 2.2  h. Over this period, minute brain motions, e.g., caused by cardiac pulsation, may degrade the image quality. This motion influence can potentially be reduced by using a laser with a high-repetition rate of 500 kHz,23 which would reduce the acquisition time for the same 3-D image to 16 s.

5.

Conclusion

We have demonstrated in vivo mouse brain imaging by GR-PAM for the first time. With a 25-MHz central-frequency UT, the measured axial resolution of GR-PAM in the phantom experiments was 12.5  μm, sixfold better than that of 3-D-scanning conventional OR-PAM. The in vivo demonstration of GR-PAM shows the potential of this technique for label-free and high-resolution anatomical and functional imaging of biological tissues.

Acknowledgments

The authors appreciate Professor James Ballard’s help in editing this paper. The authors also thank Lidai Wang and Konstantin Maslov for discussions and technical help in the experiments. This work was supported in part by the National Institutes of Health, Grant Nos. DP1 EB016986 (NIH Director’s Pioneer Award), R01 CA186567 (NIH Director’s Transformative Research Award), R01 EB016963, and R01 CA159959. L.V.W. has a financial interest in Microphotoacoustics, Inc. which, however, did not support this work.

References

1. 

A. G. Bell, “On the production and reproduction of sound by light,” Am. J. Sci., s3-20 (118), 305 –324 (1880). http://dx.doi.org/10.2475/ajs.s3-20.118.305 AJSCAP 0002-9599 Google Scholar

2. 

L. V. Wang and S. Hu, “Photoacoustic tomography: in vivo imaging from organelles to organs,” Science, 335 (6075), 1458 –1462 (2012). http://dx.doi.org/10.1126/science.1216210 SCIEAS 0036-8075 Google Scholar

3. 

S.-L. Chen, L. J. Guo and X. Wang, “All-optical photoacoustic microscopy,” Photoacoustics, 3 (4), 143 –150 (2015). http://dx.doi.org/10.1016/j.pacs.2015.11.001 Google Scholar

4. 

P. Beard, “Biomedical photoacoustic imaging,” Interface Focus, 1 (4), 602 –631 (2011). http://dx.doi.org/10.1098/rsfs.2011.0028 Google Scholar

5. 

A. P. Jathoul et al., “Deep in vivo photoacoustic imaging of mammalian tissues using a tyrosinase-based genetic reporter,” Nat. Photonics, 9 239 –246 (2015). http://dx.doi.org/10.1038/nphoton.2015.22 NPAHBY 1749-4885 Google Scholar

6. 

R. Cao et al., “Multispectral photoacoustic microscopy based on an optical-acoustic objective,” Photoacoustics, 3 (2), 55 –59 (2015). http://dx.doi.org/10.1016/j.pacs.2014.12.004 Google Scholar

7. 

Y. Zhou et al., “Handheld photoacoustic microscopy to detect melanoma depth in vivo,” Opt. Lett., 39 (16), 4731 –4734 (2014). http://dx.doi.org/10.1364/OL.39.004731 OPLEDP 0146-9592 Google Scholar

8. 

C. Zhang et al., “In vivo photoacoustic microscopy with 7.6-μm axial resolution using a commercial 125-MHz ultrasonic transducer,” J. Biomed. Opt., 17 (11), 116016 (2012). http://dx.doi.org/10.1117/1.JBO.17.11.116016 JBOPFO 1083-3668 Google Scholar

9. 

C. M. Daft, G. A. Briggs and W. D. Obrien, “Frequency dependence of tissue attenuation measured by acoustic microscopy,” J. Acoust. Soc. Am., 85 (5), 2194 –2201 (1989). http://dx.doi.org/10.1121/1.397868 JASMAN 0001-4966 Google Scholar

10. 

B. Dong et al., “Isometric multimodal photoacoustic microscopy based on optically transparent micro-ring ultrasonic detection,” Optica, 2 (2), 169 –176 (2015). http://dx.doi.org/10.1364/OPTICA.2.000169 Google Scholar

11. 

C. Zhang et al., “Slow-sound photoacoustic microscopy,” Appl. Phys. Lett., 102 (16), 163702 (2013). http://dx.doi.org/10.1063/1.4803444 APPLAB 0003-6951 Google Scholar

12. 

L. Zhu et al., “Multiview optical resolution photoacoustic microscopy,” Optica, 1 (4), 217 –222 (2014). http://dx.doi.org/10.1364/OPTICA.1.000217 Google Scholar

13. 

S. P. Mattison and B. E. Applegate, “Simplified method for ultra high-resolution photoacoustic microscopy via transient absorption,” Opt. Lett., 39 (15), 4474 –4477 (2014). http://dx.doi.org/10.1364/OL.39.004474 OPLEDP 0146-9592 Google Scholar

14. 

J. Yao et al., “Photoimprint photoacoustic microscopy for three-dimensional label-free subdiffraction imaging,” Phys. Rev. Lett., 112 (1), 014302 (2014). http://dx.doi.org/10.1103/PhysRevLett.112.014302 PRLTAO 0031-9007 Google Scholar

15. 

L. Wang, C. Zhang and L. V. Wang, “Grueneisen relaxation photoacoustic microscopy,” Phys. Rev. Lett., 113 (17), 174301 (2014). http://dx.doi.org/10.1103/PhysRevLett.113.174301 PRLTAO 0031-9007 Google Scholar

16. 

J. Shi et al., “Bessel-beam Grueneisen relaxation photoacoustic microscopy with extended depth of field,” J. Biomed. Opt., 20 (11), 116002 (2015). http://dx.doi.org/10.1117/1.JBO.20.11.116002 JBOPFO 1083-3668 Google Scholar

17. 

J. Shah et al., “Photoacoustic imaging and temperature measurement for photothermal cancer therapy,” J. Biomed. Opt., 13 (3), 034024 (2008). http://dx.doi.org/10.1117/1.2940362 JBOPFO 1083-3668 Google Scholar

18. 

D. Kobat, N. G. Horton and C. Xu, “In vivo two-photon microscopy to 1.6-mm depth in mouse cortex,” J. Biomed. Opt., 16 (10), 106014 (2011). http://dx.doi.org/10.1117/1.3646209 JBOPFO 1083-3668 Google Scholar

19. 

Y. Yamaoka, M. Nambu and T. Takamatsu, “Fine depth resolution of two-photon absorption-induced photoacoustic microscopy using low-frequency bandpass filtering,” Opt. Express, 19 (14), 13365 –13377 (2011). http://dx.doi.org/10.1364/OE.19.013365 OPEXFF 1094-4087 Google Scholar

20. 

B. E. Urban et al., “Investigating femtosecond-laser-induced two-photon photoacoustic generation,” J. Biomed. Opt., 19 (8), 085001 (2014). http://dx.doi.org/10.1117/1.JBO.19.8.085001 JBOPFO 1083-3668 Google Scholar

21. 

L. V. Wang and H. Wu, Biomedical Optics: Principles and Imaging, John Wiley & Sons, Hoboken, New Jersey (2012). Google Scholar

22. 

R. L. Shelton and B. E. Applegate, “Off-axis photoacoustic microscopy,” IEEE Trans. Biomed. Eng., 57 (8), 1835 –1838 (2010). http://dx.doi.org/10.1109/TBME.2010.2043103 IEBEAX 0018-9294 Google Scholar

23. 

J. Yao et al., “High-speed label-free functional photoacoustic microscopy of mouse brain in action,” Nat. Methods, 12 407 –410 (2015). http://dx.doi.org/10.1038/nmeth.3336 1548-7091 Google Scholar

24. 

P. Hai et al., “Near-infrared optical-resolution photoacoustic microscopy,” Opt. Lett., 39 (17), 5192 –5195 (2014). http://dx.doi.org/10.1364/OL.39.005192 OPLEDP 0146-9592 Google Scholar

Biography

Jun Ma received his BSc degree from Huazhong University of Science and Technology and a PhD from The Hong Kong Polytechnic University. Currently, he is working as a postdoctoral research associate at the Biomedical Engineering Department, Washington University in St. Louis. His research interests include optical acoustic and ultrasonic transducer, photoacoustic imaging, and their biomedical applications.

Junhui Shi received his BSc degree in chemical physics from the University of Science and Technology of China. Then, he continued to study chemistry and received his PhD from Princeton University, Princeton, New Jersey, USA. He was working on theoretical chemical dynamics and experimental nuclear magnetic resonance spectroscopy. Currently, he is working on photoacoustic imaging at the Biomedical Engineering Department, Washington University in St. Louis, Missouri, USA.

Pengfei Hai received his BS degree in biomedical engineering from Shanghai Jiao Tong University in 2012. He is currently a PhD candidate in biomedical engineering at the Washington University in St. Louis, under the supervision of Professor Lihong V. Wang. His research interests include the technical development and biomedical applications of photoacoustic imaging.

Yong Zhou is currently a graduate student in biomedical engineering at Washington University in St. Louis, under the supervision of Lihong V. Wang, Gene K. Beare distinguished professor. His research focuses on the development of photoacoustic imaging systems.

Lihong V. Wang is the Beare distinguished professor at Washington University. His book titled “Biomedical Optics” won the Goodman Award. He has published 420 journal articles with an h-index of 99 (>30,000 citations) and delivered 400 keynote/plenary/invited talks. His laboratory published first functional photoacoustic CT, three-dimensional photoacoustic microscopy, and compressed ultrafast photography. He serves as the editor-in-chief of the Journal of Biomedical Optics. He was awarded OSA’s C.E.K. Mees Medal, NIH Director’s Pioneer Award, and IEEE’s Biomedical Engineering Award.

© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2016/$25.00 © 2016 SPIE
Jun Ma, Junhui Shi, Pengfei Hai, Yong Zhou, and Lihong V. Wang "Grueneisen relaxation photoacoustic microscopy in vivo," Journal of Biomedical Optics 21(6), 066005 (8 June 2016). https://doi.org/10.1117/1.JBO.21.6.066005
Published: 8 June 2016
Lens.org Logo
CITATIONS
Cited by 17 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Pulsed laser operation

In vivo imaging

Continuous wave operation

Photoacoustic microscopy

3D image processing

Brain

Image resolution

Back to Top