DOI QR코드

DOI QR Code

Enhancement of Speckle Contrast in vivo by Combining Linearly Polarized Laser Light and an Analyzer

  • Qureshi, Muhammad Mohsin (Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology) ;
  • Mac, Khuong Duy (Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology) ;
  • Kim, Andrew Hyunjin (Department of Mechanical Engineering, The State University of New York Korea) ;
  • Kim, Young Ro (Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital) ;
  • Chung, Euiheon (Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology)
  • Received : 2021.03.05
  • Accepted : 2021.04.21
  • Published : 2021.08.25

Abstract

Speckle imaging is capable of dynamic data acquisition at high spatiotemporal resolution, and has played a vital role in the functional study of biological specimens. The presence of various optical scatterers within the tissue causes alteration of speckle contrast. Thus structures like blood vessels can be delineated and quantified. Although laser speckle imaging is frequently used, an optimization process to ensure the maximum speckle contrast has not been available. In this respect, we here report an experimental procedure to optimize speckle contrast via applying different combinations of varying polarization of the illuminating laser light and multiple analyzer angles. Specifically, samples were illuminated by the p-polarization, 45°-polarization, and s-polarization of the incident laser, and speckle images were recorded without and with the analyzer rotated from 0° to 180° (Δ = 30°). Following the baseline imaging of a solid diffuser and a fixed brain sample, laser speckle contrast imaging (LSCI) was successfully performed to visualize in vivo mouse-brain blood flow. For oblique laser illumination, the maximum contrast achieved with p-polarized and s-polarized light was perpendicular to the analyzer's axis. This study demonstrates the optimization process for maximizing the speckle contrast, which can improve blood-flow estimation in vivo.

Keywords

Acknowledgement

This work was supported by the GIST Research Institute (GRI) GIST-CNUH research collaboration grant, funded by GIST in 2021 and the Joint Research Project of the Institutes of Science and Technology in 2021. This work was supported by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant, funded by the Korea government (MSIT) (No.2019-0-01842, Artificial Intelligence Graduate School Program (GIST)). This research was also supported by the National Research Foundation of Korea (NRF), funded by the Korean government (MEST) (NRF-2019R1A2C2086003), and the Brain Research Program through the NRF, funded by the Ministry of Science, ICT & Future Planning (NRF-2017M3C7A1044964), and finally by the Ministry of Science and ICT, the Ministry of Trade, Industry and Energy, the Ministry of Health & Welfare, Republic of Korea, and the Ministry of Food and Drug Safety (Project Number: 202011D13).

References

  1. R. K. Amineh, "Applications of electromagnetic waves: present and future," Electronics 9, 808 (2020). https://doi.org/10.3390/electronics9050808
  2. S. Costanzo and G. Lopez, "Phaseless microwave tomography assessment for breast imaging: preliminary results," Int. J. Antennas Propag. 2020, 5780243 (2020).
  3. W. Mier and D. Mier, "Advantages in functional imaging of the brain," Front. Hum. Neurosci. 9, 249 (2015). https://doi.org/10.3389/fnhum.2015.00249
  4. D. A. Boas, C. Pitris, and N. Ramanujam, Handbook of Biomedical Optics (CRC Press, FL, USA. 2011).
  5. L. V. Wang and Hsin-I Wu, Biomedical Optics: Principles and Imaging (John Wiley & Sons, NJ, USA. 2012).
  6. E. Chung and A. Vitkin, "Photon mayhem: new directions in diagnostic and therapeutic photomedicine," Biomed. Eng. Lett. 9, 275-277 (2019). https://doi.org/10.1007/s13534-019-00125-9
  7. M. Aswendt, J. Adamczak, and A. Tennstaedt, "A review of novel optical imaging strategies of the stroke pathology and stem cell therapy in stroke," Front. Cell. Neurosci. 8, 226 (2014). https://doi.org/10.3389/fncel.2014.00226
  8. E. A. Rodriguez, G. N. Tran, L. A. Gross, J. L. Crisp, X. Shu, J. Y. Lin, and R. Y. Tsien, "A far-red fluorescent protein evolved from a cyanobacterial phycobiliprotein," Nat. Methods 13, 763-769 (2016). https://doi.org/10.1038/nmeth.3935
  9. A. Arranz and J. Ripoll, "Advances in optical imaging for pharmacological studies," Front. Pharmacol. 6, 187 (2015). https://doi.org/10.3389/fphar.2015.00187
  10. P. K. Poola, M. I. Afzal, Y. Yoo, K. H. Kim, and E. Chung, "Light sheet microscopy for histopathology applications," Biomed. Eng. Lett. 9, 279-291 (2019). https://doi.org/10.1007/s13534-019-00122-y
  11. A. K. Dunn, H. Bolay, M. A. Moskowitz, and D. A. Boas, "Dynamic imaging of cerebral blood flow using laser speckle," J. Cereb. Blood Flow Metab. 21, 195-201 (2001). https://doi.org/10.1097/00004647-200103000-00002
  12. D. A. Boas and A. K. Dunn, "Laser speckle contrast imaging in biomedical optics," J. Biomed. Opt. 15, 011109 (2010). https://doi.org/10.1117/1.3285504
  13. A. B. Parthasarathy, W. J. Tom, A. Gopal, X. Zhang, and A. K. Dunn, "Robust flow measurement with multi-exposure speckle imaging," Opt. Express 16, 1975-1989 (2008). https://doi.org/10.1364/OE.16.001975
  14. D. D. Postnov, J. Tang, S. E. Erdener, K. Kilic, and D. A. Boas, "Dynamic light scattering imaging," Sci. Adv. 6, eabc4628 (2020). https://doi.org/10.1126/sciadv.abc4628
  15. R. A. Leitgeb, L. Schmetterer, W. Drexler, A. F. Fercher, R. J. Zawadzki, and T. Bajraszewski, "Real-time assessment of retinal blood flow with ultrafast acquisition by color Doppler Fourier domain optical coherence tomography," Opt. Express 11, 3116-3121 (2003). https://doi.org/10.1364/OE.11.003116
  16. H. Li, Q. Liu, H. Lu, Y. Li, H. F. Zhang, and S. Tong, "Directly measuring absolute flow speed by frequency-domain laser speckle imaging," Opt. Express 22, 21079-21087 (2014). https://doi.org/10.1364/OE.22.021079
  17. A. Rege, K. Murari, A. Seifert, N. V. Thakor, and A. P. Pathak, "Multiexposure laser speckle contrast imaging of the angiogenic microenvironment," J. Biomed. Opt. 16, 056006 (2011). https://doi.org/10.1117/1.3582334
  18. J. W. Goodman, Speckle Phenomena in Optics: Theory and Applications (Ben Roberts & Company, CO, USA. 2007).
  19. J. D. Briers and S. Webster, "Laser speckle contrast analysis (LASCA): a nonscanning, full-field technique for monitoring capillary blood flow," J. Biomed. Opt. 1, 174-179 (1996). https://doi.org/10.1117/12.231359
  20. T. Sugiyama, M. Araie, C. E. Riva, L. Schmetterer, and S. Orgul, "Use of laser speckle flowgraphy in ocular blood flow research," Acta Ophthalmol. 88, 723-729 (2010). https://doi.org/10.1111/j.1755-3768.2009.01586.x
  21. Y. Tamaki, M. Araie, K. Tomita, M. Nagahara, A. Tomidokoro, and H. Fujii, "Real-time measurement of human optic nerve head and choroid circulation, using the laser speckle phenomenon," Jpn. J. Ophthalmol. 41, 49-54 (1997). https://doi.org/10.1016/S0021-5155(96)00008-1
  22. X. Wei, P. K. Balne, K. E. Meissner, V. A. Barathi, L. Schmetterer, and R. Agrawal, "Assessment of flow dynamics in retinal and choroidal microcirculation," Surv. Ophthalmol. 63, 646-664 (2018). https://doi.org/10.1016/j.survophthal.2018.03.003
  23. A. D. Rossa, M. Cazzato, A. D'Ascanio, A. Tavoni, W. Bencivelli, P. Pepe, M. Mosca, C. Baldini, M. Rossi, and S. Bombardieri, "Alteration of microcirculation is a hallmark of very early systemic sclerosis patients: A laser speckle contrast analysis," Clin. Exp. Rheumatol. 31, 109-114 (2013).
  24. F. Gaillard-Bigot, M. Roustit, S. Blaise, M. Gabin, C. Cracowski, C. Seinturier, B. Imbert, P. Carpentier, and J. L. Cracowski, "Abnormal amplitude and kinetics of digital postocclusive reactive hyperemia in systemic sclerosis," Microvasc. Res. 94, 90-95 (2014). https://doi.org/10.1016/j.mvr.2014.05.007
  25. B. Ruaro, A. Sulli, E. Alessandri, C. Pizzorni, G. Ferrari, and M. Cutolo, "Laser speckle contrast analysis: a new method to evaluate peripheral blood perfusion in systemic sclerosis patients," Ann. Rheum. Dis. 73, 1181-1185 (2014). https://doi.org/10.1136/annrheumdis-2013-203514
  26. J. D. Briers, G. J. Richards, and X.-W. He, "Capillary blood flow monitoring using laser speckle contrast analysis (LASCA)," J. Biomed. Opt. 4, 164-175 (1999). https://doi.org/10.1117/1.429903
  27. J. D. Briers, "Laser speckle contrast imaging for measuring blood flow," Opt. Appl. 37, 139-152 (2007). https://doi.org/10.1007/s10589-007-9017-0
  28. T. Dragojevic, D. Bronzi, H. M. Varma, C. P. Valdes, C. Castellvi, F. Villa, A. Tosi, C. Justicia, F. Zappa, and T. Durduran, "High-speed multi-exposure laser speckle contrast imaging with a single-photon counting camera," Biomed. Opt. Express 6, 2865-2876 (2015). https://doi.org/10.1364/BOE.6.002865
  29. L. M. Richards, E. L. Towle, D. J. Fox, and A. K. Dunn, "Intraoperative laser speckle contrast imaging with retrospective motion correction for quantitative assessment of cerebral blood flow," Neurophotonics 1, 015006 (2014). https://doi.org/10.1117/1.NPh.1.1.015006
  30. H.-J. Jeon, M. M. Qureshi, S. Y. Lee, J. D. Badadhe, H. Cho, and E. Chung, "Laser speckle decorrelation time-based platelet function testing in microfluidic system," Sci. Rep. 9, 16514 (2019). https://doi.org/10.1038/s41598-019-52953-5
  31. M. M. Qureshi, Y. Liu, K. D. Mac, M. Kim, A. M. Safi, and E. Chung, "Quantitative blood flow estimation in vivo by optical speckle image velocimetry," bioRxiv 2021.03.25.437094 (2021).
  32. H. Cheng, Q. Luo, S. Zeng, S. Chen, J. Cen, and H. Gong, "Modified laser speckle imaging method with improved spatial resolution," J. Biomed. Opt. 8, 559-564 (2003). https://doi.org/10.1117/1.1578089
  33. B. E. A. Saleh and M. C. Teich, Fundamentals of Photonics, 2nd ed., (Wiley India, New Delhi, India. 2007).
  34. K. S. Park, J. G. Shin, M. M. Qureshi, E. Chung, and T. J. Eom, "Deep brain optical coherence tomography angiography in mice: in vivo, noninvasive imaging of hippocampal formation," Sci. Rep. 8, 11614 (2018). https://doi.org/10.1038/s41598-018-29975-6
  35. H. J. Jeon, M. M. Qureshi, S. Y. Lee, and E. Chung, "Optofluidic laser speckle image decorrelation analysis for the assessment of red blood cell storage," PLOS ONE 14, e0224036 (2019). https://doi.org/10.1371/journal.pone.0224036
  36. R. Mostany and C. Portera-Cailliau, "A craniotomy surgery procedure for chronic brain imaging," J. Vis. Exp. 12, 680 (2008).
  37. M. M. Qureshi, J. Brake, H.-J. Jeon, H. Ruan, Y. Liu, A. M. Safi, T. J. Eom, C. Yang, and E. Chung, "In vivo study of optical speckle decorrelation time across depths in the mouse brain," Biomed. Opt. Express 8, 4855-4864 (2017). https://doi.org/10.1364/BOE.8.004855
  38. Y. Zhang, B. Chen, and D. Li, "Propagation of polarized light in the biological tissue: a numerical study by polarized geometric Monte Carlo method," Appl. Opt. 55, 2681-2691 (2016). https://doi.org/10.1364/AO.55.002681
  39. V. Periyasamy and M. Pramanik, "Advances in Monte Carlo simulation for light propagation in tissue," IEEE Rev. Biomed. Eng. 10, 122-135 (2017). https://doi.org/10.1109/RBME.2017.2739801