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De-scattering with Excitation Patterning enables rapid wide-field imaging through scattering media

Author(s)
Zheng, Cheng; Park, Jong Kang; Yildirim, Murat; Boivin, Josiah R; Xue, Yi; Sur, Mriganka; So, Peter TC; Wadduwage, Dushan N; ... Show more Show less
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Creative Commons Attribution NonCommercial License 4.0 https://creativecommons.org/licenses/by-nc/4.0/
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Abstract
Nonlinear optical microscopy has enabled in vivo deep tissue imaging on the millimeter scale. A key unmet challenge is its limited throughput especially compared to rapid wide-field modalities that are used ubiquitously in thin specimens. Wide-field imaging methods in tissue specimens have found successes in optically cleared tissues and at shallower depths, but the scattering of emission photons in thick turbid samples severely degrades image quality at the camera. To address this challenge, we introduce a novel technique called De-scattering with Excitation Patterning or "DEEP," which uses patterned nonlinear excitation followed by computational imaging-assisted wide-field detection. Multiphoton temporal focusing allows high-resolution excitation patterns to be projected deep inside specimen at multiple scattering lengths due to the use of long wavelength light. Computational reconstruction allows high-resolution structural features to be reconstructed from tens to hundreds of DEEP images instead of millions of point-scanning measurements.
Date issued
2021-07
URI
https://hdl.handle.net/1721.1/138331
Department
Massachusetts Institute of Technology. Department of Mechanical Engineering; Massachusetts Institute of Technology. Laser Biomedical Research Center; Massachusetts Institute of Technology. Department of Biological Engineering; Picower Institute for Learning and Memory
Journal
Science Advances
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Zheng, Cheng, Park, Jong Kang, Yildirim, Murat, Boivin, Josiah R, Xue, Yi et al. 2021. "De-scattering with Excitation Patterning enables rapid wide-field imaging through scattering media." Science Advances, 7 (28).
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