Poster
13 March 2024 Label-free deep imaging inside scattering media through virtual spatiotemporal wavefront shaping
Author Affiliations +
Conference Poster
Abstract
Wawefront shaping can overcome light scattering to focus deep inside turbid media, but it typically requires feedback from guidestars and is restricted by the isoplanatic patch size and modulation speed. Here, we present scattering matrix tomography (SMT) that uses the measured scattering matrix to perform virtual spatiotemporal wavefront shaping, with a digitally scanned confocal spatiotemporal focus and guidestar-free wavefront optimization for every isoplanatic patch. We experimentally use SMT to achieve diffraction-limited resolution behind one-millimeter-thick ex-vivo mouse brain tissue which reduces the target signal by over ten million-fold. We also realize 3D tomography with ideal transverse and axial resolutions inside a dense colloid, where conventional imaging methods fail due to multiple scattering, across a large depth of field of over 70 times the Rayleigh range.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yiwen Zhang, Minh Dinh, Zeyu Wang, Tianhao Zhang, Chia Wei Hsu, and Tianhang Chen "Label-free deep imaging inside scattering media through virtual spatiotemporal wavefront shaping", Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC1285714 (13 March 2024); https://doi.org/10.1117/12.2685661
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KEYWORDS
Wavefronts

Scattering media

3D image processing

Confocal microscopy

Matrices

Multiple scattering

Scattering

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