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

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Title
High-throughput volumetric adaptive optical imaging using compressed time-reversal matrix
Author(s)
Hojun Lee; Seokchan Yoon; Loohuis, Pascal; Jin Hee Hong; Sungsam Kang; Wonshik Choi
Publication Date
2022-01
Journal
Light: Science and Applications, v.11, no.1
Publisher
Nature Publishing Group
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 severe 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 x 40 mu m(2) (176 x 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 x 128 x 125 mu m(3) (568 x 568 x 125 voxels) in 3.58 s, correcting tissue aberrations at each and every 1 mu m depth section, and visualizing myelinated axons with a lateral resolution of 0.45 mu m and an axial resolution of 2 mu m.
URI
https://pr.ibs.re.kr/handle/8788114/11610
DOI
10.1038/s41377-021-00705-4
ISSN
2047-7538
Appears in Collections:
Center for Molecular Spectroscopy and Dynamics(분자 분광학 및 동력학 연구단) > 1. Journal Papers (저널논문)
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