Speckle-resolved optical coherence tomography for mesoscopic imaging within scattering media
Abstract
Light scattering poses a challenge for imaging deep in scattering media as the ballistic light exponentially attenuates with depth. In contrast to the ballistic light, the multiply scattered light penetrates deeper and also contains information about the sample. One technique to image deeper is to selectively detect only a subset of the multiply scattered light, namely the 'snake' photons, which are predominantly forward scattered and retain more direct information than the more strongly scattered light. In this work, we develop a technique, termed speckle-resolved optical coherence tomography (srOCT), for efficiently detecting these 'snake' photons to enable imaging deeper in scattering media. The system couples spatio-angular filtering with speckle-resolved interferometric detection to preferentially and efficiently detect the weakly scattered 'snake' photons. With our proof-of-concept system, we demonstrate depth-resolved imaging beyond the ballistic limit, up to a depth of 90 round-trip MFPs in a scattering phantom and a depth of 4.5 mm of chicken tissue at 0.4 mm axial and lateral resolution.
Additional Information
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement. Received 1 Dec 2021; revised 5 Feb 2022; accepted 6 Feb 2022; published 14 Mar 2022. The authors would like to thank Dr. Jian Xu, Dr. Haowen Ruan, and Ruizhi Cao for helpful suggestions and feedback. Funding: Natural Sciences and Engineering Research Council of Canada (PGSD); Kernel LLC. Data availability. Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request. The authors declare no conflicts of interest.Attached Files
Published - boe-13-4-2068.pdf
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Additional details
- PMCID
- PMC9045937
- Eprint ID
- 114866
- Resolver ID
- CaltechAUTHORS:20220520-231842000
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- Kernel LLC
- Created
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2022-05-24Created from EPrint's datestamp field
- Updated
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2022-05-24Created from EPrint's last_modified field