High-throughput volumetric adaptive optical imaging using compressed time-reversal matrix

Hojun Lee; Seokchan Yoon; Pascal Loohuis; Jin Hee Hong; Sungsam Kang; Wonshik Choi

doi:10.1038/s41377-021-00705-4

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High-throughput volumetric adaptive optical imaging using compressed time-reversal matrix

Articles

- High-throughput volumetric adaptive optical imaging using compressed time-reversal matrix
- Light: Science & Applications Vol. 11, Issue 1, Pages: 114-126(2022)
- Affiliations：
  
  1.Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science, Seoul, 02841, Korea
  2.Department of Physics, Korea University, Seoul, 02841, Korea
  3.Department of Applied Mathematics, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, Netherlands
  4.Achmea Holding BV, Handelsweg 2, 3707 NH, Zeist, Netherlands
- Author bio：
  
  Wonshik Choi (wonshik@korea.ac.kr)
- Funds：
- DOI：10.1038/s41377-021-00705-4
  CLC：
- Published：31 January 2022，
  
  Published Online：14 January 2022，
  
  Received：26 July 2021，
  
  Revised：10 December 2021，
  
  Accepted：26 December 2021
- Accepted：
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Lee, H. et al. High-throughput volumetric adaptive optical imaging using compressed time-reversal matrix. Light: Science & Applications, 11, 114-126 (2022).
DOI：

Lee, H. et al. High-throughput volumetric adaptive optical imaging using compressed time-reversal matrix. Light: Science & Applications, 11, 114-126 (2022). DOI： 10.1038/s41377-021-00705-4.

摘要

Abstract

Deep-tissue optical imaging suffers from the reduction of resolving power due to tissue-induced optical aberrations and multiple scattering noise. Reflection matrix approaches recording the maps of backscattered waves for all the possible orthogonal input channels have provided formidable solutions for removing se

vere aberrations and recovering the ideal diffraction-limited spatial resolution without relying on fluorescence labeling and guide stars. However

measuring the full input–output response of the tissue specimen is time-consuming

making the real-time image acquisition difficult. Here

we present the use of a time-reversal matrix

instead of the reflection matrix

for fast high-resolution volumetric imaging of a mouse brain. The time-reversal matrix reduces two-way problem to one-way problem

which effectively relieves the requirement for the coverage of input channels. Using a newly developed aberration correction algorithm designed for the time-reversal matrix

we demonstrated the correction of complex aberrations using as small as 2% of the complete basis while maintaining the image reconstruction fidelity comparable to the fully sampled reflection matrix. Due to nearly 100-fold reduction in the matrix recording time

we could achieve real-time aberration-correction imaging for a field of view of 40 × 40 µm

(176 × 176 pixels) at a frame rate of 80 Hz. Furthermore

we demonstrated high-throughput volumetric adaptive optical imaging of a mouse brain by recording a volume of 128 × 128 × 125 µm

(568 × 568 × 125 voxels) in 3.58 s

correcting tissue aberrations at each and every 1 µm depth section

and visualizing myelinated axons with a lateral resolution of 0.45 µm and an axial resolution of 2 µm.

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