Adaptive Optical Multi-Spectral Matrix Approach for Label-free High-resolution Imaging through Complex Scattering Media
Yiwen Zhang, Minh Dinh, Zeyu Wang, Tianhao Zhang, Tianhang Chen, Chia Wei Hsu

TL;DR
This paper introduces Scattering Matrix Tomography (SMT), a novel adaptive optics method that enables high-resolution, noninvasive imaging deep inside complex scattering media by effectively correcting severe wavefront aberrations.
Contribution
The paper presents SMT, a new approach that leverages spectral matrix measurements and advanced optimization to overcome high-order aberrations in scattering media, surpassing existing techniques.
Findings
Achieves a depth-over-resolution ratio above 900 in ex vivo mouse brain tissue.
Enables volumetric imaging at over three transport mean free paths inside opaque colloids.
Successfully corrects strong aberrations where conventional methods fail.
Abstract
Imaging through complex scattering media is severely limited by aberrations and scattering which obscure images and reduce resolution. Confocal and temporal gatings partly filter out multiple scattering but are severely degraded by wavefront distortions. Adaptive optics restore resolution by correcting low-order aberrations and matrix-based imaging enables more complex wavefront corrections. However, they struggle to undo high-order aberrations under strong scattering, preventing imaging at greater depths. To address these challenges, we present Scattering Matrix Tomography (SMT), an approach that makes full use of the wavefront engineering capability of scattering matrix and extreme adaptive optics. SMT reformulates imaging through complex media as a numerical optimization and employs Zernike-mode wavefront regularization and coarse-to-fine nonconvex optimization strategy to reverse…
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Taxonomy
TopicsRandom lasers and scattering media · Advanced Optical Imaging Technologies · Computer Graphics and Visualization Techniques
