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Abstract
Studying the internal structure of complex samples with light is an important task but a difficult challenge due to light scattering. While the complex optical distortions induced by scattering can be effectively undone if the medium’s scattering-matrix is known, this matrix generally cannot be retrieved without the presence of an invasive detector or guide-star at the target points of interest. To overcome this limitation, the current state-of-the-art approaches utilize focused ultrasound for generating acousto-optic guide-stars, in a variety of different techniques. Here, we introduce the acousto-optic transmission matrix (AOTM), which is an ultrasonically-encoded, spatially-resolved, optical scattering-matrix. The AOTM provides both a generalized framework to describe any acousto-optic based technique, and a tool for light control and focusing beyond the acoustic diffraction-limit inside complex samples. We experimentally demonstrate complex light control using the AOTM singular vectors, and utilize the AOTM framework to analyze the resolution limitation of acousto-optic guided focusing approaches.
Various techniques combine light and ultrasound to study the inside of strongly scattering samples, beyond the reach of purely optical imaging. Here, Katz et al. introduce the acousto-optic transmission matrix framework that allows to control and focus light beyond the acoustic diffraction limit.
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1 The Hebrew University of Jerusalem, Department of Applied Physics, Jerusalem, Israel (GRID:grid.9619.7) (ISNI:0000 0004 1937 0538); PSL Research University, Institut Langevin, ESPCI Paris, CNRS UMR7587, Paris, France (GRID:grid.440907.e); Sorbonne université, Laboratoire Kastler Brossel, Ecole Normale Supérieure, Collège de France, CNRS UMR 8552, Paris, France (GRID:grid.462844.8) (ISNI:0000 0001 2308 1657)
2 PSL Research University, Institut Langevin, ESPCI Paris, CNRS UMR7587, Paris, France (GRID:grid.440907.e)
3 Sorbonne université, Laboratoire Kastler Brossel, Ecole Normale Supérieure, Collège de France, CNRS UMR 8552, Paris, France (GRID:grid.462844.8) (ISNI:0000 0001 2308 1657)