Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Protocol
  • Published:

Snapshot photoacoustic topography through an ergodic relay of optical absorption in vivo

Abstract

Photoacoustic tomography (PAT) has demonstrated versatile biomedical applications, ranging from tracking single cells to monitoring whole-body dynamics of small animals and diagnosing human breast cancer. Currently, PAT has two major implementations: photoacoustic computed tomography (PACT) and photoacoustic microscopy (PAM). PACT uses a multi-element ultrasonic array for parallel detection, which is relatively complex and expensive. In contrast, PAM requires point-by-point scanning with a single-element detector, which has a limited imaging throughput. The trade-off between the system cost and throughput demands a new imaging method. To this end, we have developed photoacoustic topography through an ergodic relay (PATER). PATER can capture a wide-field image with only a single-element ultrasonic detector upon a single laser shot. This protocol describes the detailed procedures for PATER system construction, including component selection, equipment setup and system alignment. A step-by-step guide for in vivo imaging of a mouse brain is provided as an example application. Data acquisition, image reconstruction and troubleshooting procedures are also elaborated. It takes ~130 min to carry out this protocol, including ~60 min for both calibration and snapshot wide-field data acquisition using a laser with a 2-kHz pulse repetition rate. PATER offers low-cost snapshot wide-field imaging of fast dynamics, such as visualizing blood pulse wave propagation and tracking melanoma tumor cell circulation in mice in vivo. We envision that PATER will have wide biomedical applications and anticipate that the compact size of the setup will allow it to be further developed as a wearable device to monitor human vital signs.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Schematic of the PATER system (drawn not to scale for clarity).
Fig. 2: The ER and the spatial resolution of PATER.
Fig. 3: PATER of the mouse cortical vasculature in vivo.
Fig. 4: Reconstruction artifacts caused by signals from uncalibrated areas.
Fig. 5: Temporal signatures of the PA signals.
Fig. 6: Blood flushing in and out of a tube.
Fig. 7: PATER of biological dynamics in vivo.

Similar content being viewed by others

Data availability

All data generated or analyzed within this study are included in the article and ref. 10. The raw data for Figs. 2 and 3 can be downloaded via the following links: Fig. 2, https://figshare.com/articles/dataset/Data_for_Fig_2/12950798; Fig. 3, https://figshare.com/articles/dataset/Data_for_Fig_3/12591953. All other raw data are available from the corresponding author upon request.

Code availability

The reconstruction algorithm and data processing methods are described in detail in this protocol. The reconstruction algorithm is provided with this protocol as Supplementary Software 1.

References

  1. Weber, J., Beard, P. C. & Bohndiek, S. E. Contrast agents for molecular photoacoustic imaging. Nat. Methods 13, 639–650 (2016).

    Article  CAS  PubMed  Google Scholar 

  2. Ntziachristos, V. Going deeper than microscopy: the optical imaging frontier in biology. Nat. Methods 7, 603–614 (2010).

    Article  CAS  PubMed  Google Scholar 

  3. Wang, L. H. V. & Hu, S. Photoacoustic tomography: in vivo imaging from organelles to organs. Science 335, 1458–1462 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Zhang, H. F., Maslov, K. & Wang, L. V. In vivo imaging of subcutaneous structures using functional photoacoustic microscopy. Nat. Protoc. 2, 797–804 (2007).

    Article  CAS  PubMed  Google Scholar 

  5. Beard, P. C. Biomedical photoacoustic imaging. Interface Focus 1, 602–631 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Xu, M. & Wang, L. V. Universal back-projection algorithm for photoacoustic computed tomography. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 71, 016706 (2005).

    Article  PubMed  Google Scholar 

  7. Matthews, T. P., Poudel, J., Li, L., Wang, L. V. & Anastasio, M. A. Parameterized joint reconstruction of the initial pressure and sound speed distributions for photoacoustic computed tomography. SIAM J. Imaging Sci. 11, 1560–1588 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Li, L. et al. Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution. Nat. Biomed. Eng. 1, 0071 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Wang, L. V. & Yao, J. A practical guide to photoacoustic tomography in the life sciences. Nat. Methods 13, 627–638 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Li, Y. et al. Snapshot photoacoustic topography through an ergodic relay for high-throughput imaging of optical absorption. Nat. Photonics 14, 164–170 (2020).

    Article  CAS  Google Scholar 

  11. Li, L. et al. Small near-infrared photochromic protein for photoacoustic multi-contrast imaging and detection of protein interactions in vivo. Nat. Commun. 9, 2734 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  12. Zhang, P. et al. High-resolution deep functional imaging of the whole mouse brain by photoacoustic computed tomography in vivo. J. Biophotonics 11, e201700024 (2018).

    Article  Google Scholar 

  13. Zhang, P., Li, L., Lin, L., Shi, J. & Wang, L. V. In vivo superresolution photoacoustic computed tomography by localization of single dyed droplets. Light Sci. Appl. 8, 36 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  14. Jathoul, A. P. et al. Deep in vivo photoacoustic imaging of mammalian tissues using a tyrosinase-based genetic reporter. Nat. Photonics 9, 239–246 (2015).

    Article  CAS  Google Scholar 

  15. Yao, J. et al. Multiscale photoacoustic tomography using reversibly switchable bacterial phytochrome as a near-infrared photochromic probe. Nat. Methods 13, 67–73 (2016).

    Article  CAS  PubMed  Google Scholar 

  16. Wu, Z. et al. A microrobotic system guided by photoacoustic computed tomography for targeted navigation in intestines in vivo. Sci. Robot. 4, eaax0613 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  17. Li, L. et al. Label-free photoacoustic tomography of whole mouse brain structures ex vivo. Neurophotonics 3, 035001 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  18. Yeh, C. et al. Dry coupling for whole-body small-animal photoacoustic computed tomography. J. Biomed. Opt. 22, 41017 (2017).

    Article  PubMed  Google Scholar 

  19. Razansky, D. et al. Multispectral opto-acoustic tomography of deep-seated fluorescent proteins in vivo. Nat. Photonics 3, 412–417 (2009).

    Article  CAS  Google Scholar 

  20. Imai, T. et al. High-throughput ultraviolet photoacoustic microscopy with multifocal excitation. J. Biomed. Opt. 23, 1–6 (2018).

    Article  PubMed  Google Scholar 

  21. Qu, Y. et al. Dichroism-sensitive photoacoustic computed tomography. Optica 5, 495–501 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Razansky, D., Buehler, A. & Ntziachristos, V. Volumetric real-time multispectral optoacoustic tomography of biomarkers. Nat. Protoc. 6, 1121–1129 (2011).

    Article  CAS  PubMed  Google Scholar 

  23. Li, L., Zhu, L., Shen, Y. & Wang, L. V. Multiview Hilbert transformation in full-ring transducer array-based photoacoustic computed tomography. J. Biomed. Opt. 22, 76017 (2017).

    Article  PubMed  Google Scholar 

  24. Laufer, J. et al. In vivo preclinical photoacoustic imaging of tumor vasculature development and therapy. J. Biomed. Opt. 17, 056016 (2012).

    Article  PubMed  Google Scholar 

  25. Ellwood, R., Ogunlade, O., Zhang, E., Beard, P. & Cox, B. Photoacoustic tomography using orthogonal Fabry–Pérot sensors. J. Biomed. Opt. 22, 41009 (2016).

    Article  Google Scholar 

  26. Li, L. et al. Fully motorized optical-resolution photoacoustic microscopy. Opt. Lett. 39, 2117–2120 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  27. Yao, J. et al. High-speed label-free functional photoacoustic microscopy of mouse brain in action. Nat. Methods 12, 407–410 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Hsu, H.-C. et al. Dual-axis illumination for virtually augmenting the detection view of optical-resolution photoacoustic microscopy. J. Biomed. Opt. 23, 1–7 (2018).

    PubMed  Google Scholar 

  29. Draeger, C. & Fink, M. One-channel time reversal of elastic waves in a chaotic 2D-silicon cavity. Phys. Rev. Lett. 79, 407 (1997).

    Article  CAS  Google Scholar 

  30. Ing, R. K., Quieffin, N., Catheline, S. & Fink, M. In solid localization of finger impacts using acoustic time-reversal process. Appl. Phys. Lett. 87, 204104 (2005).

    Article  Google Scholar 

  31. Li, Y., Wong, T. T., Shi, J., Hsu, H.-C. & Wang, L. V. Multifocal photoacoustic microscopy using a single-element ultrasonic transducer through an ergodic relay. Light Sci. Appl. 9, 1–7 (2020).

    Article  Google Scholar 

  32. Li, Y. et al. Photoacoustic topography through an ergodic relay for functional imaging and biometric application in vivo. J. Biomed. Opt. 25, 1–8 (2020).

    Article  PubMed  Google Scholar 

  33. Fink, M. & de Rosny, J. Time-reversed acoustics in random media and in chaotic cavities. Nonlinearity 15, R1 (2001).

    Article  Google Scholar 

  34. Eder, F. X. Moderne Messmethoden der Physik. Bd 1. 2., erweiterte Aufl. Edn (Deutscher Verlag der Wissenschaften, 1960).

  35. Bioucas-Dias, J. M. & Figueiredo, M. A. T. A new TwIST: two-step iterative shrinkage/thresholding algorithms for image restoration. IEEE Trans. Image Process. 16, 2992–3004 (2007).

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

This work was supported in part by National Institutes of Health grants R01 CA186567 (NIH Director’s Transformative Research Award), R01 NS102213, U01 NS099717 (BRAIN Initiative), R35 CA220436 (Outstanding Investigator Award) and R01 EB028277.

Author information

Authors and Affiliations

Authors

Contributions

L.L. and Y.L. developed the imaging system. L.L., Y.L. and Y.Z. designed and performed the experiments. L.V.W. supervised the study. All authors contributed to writing the manuscript.

Corresponding author

Correspondence to Lihong V. Wang.

Ethics declarations

Competing interests

L.V.W. has financial interests in Microphotoacoustics, Inc.; CalPACT, LLC; and Union Photoacoustic Technologies, Ltd., which did not support this work.

Additional information

Peer review information Nature Protocols thanks Miya Ishihara, Guenther Paltauf and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Related links

Key references using this protocol

Li, Y. et al. Nat. Photonics 14, 164–170 (2020): https://doi.org/10.1038/s41566-019-0576-2

Li, Y. et al. J. Biomed. Opt. 25, 070501 (2020): https://doi.org/10.1117/1.JBO.25.7.070501

Li, Y. et al. Light Sci. Appl. 9, 135 (2020): https://doi.org/10.1038/s41377-020-00372-x

Supplementary information

Reporting Summary

Supplementary Software 1

Software for PATER reconstruction

Supplementary Data 1

3D model and parts list for the animal holder

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, L., Li, Y., Zhang, Y. et al. Snapshot photoacoustic topography through an ergodic relay of optical absorption in vivo. Nat Protoc 16, 2381–2394 (2021). https://doi.org/10.1038/s41596-020-00487-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41596-020-00487-w

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing