All‐Optical Phase Recovery: Diffractive Computing for Quantitative Phase Imaging (Advanced Optical Materials 15/2022)
Source abstract
Abstract
Quantitative phase imaging (QPI) is a label-free computational imaging technique that provides optical path length information of specimens. Modern QPI techniques rely on iterative, time consuming and power-hungry digital reconstruction algorithms to reveal the quantitative phase image of an object. Engineers at UCLA report the design of diffractive networks that can all-optically recover the quantitative phase information of a scene, solely using the diffraction of light through passive engineered surfaces. For further details, see article number 2200281 by Deniz Mengu and Aydogan Ozcan.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Optical Polarization and Ellipsometry · Optical Coherence Tomography Applications · Digital Holography and Microscopy
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Affiliations
Department of Electrical and Computer Engineering University of California Los Angeles (UCLA) Los Angeles CA 90095 USA
Department of Bioengineering University of California Los Angeles (UCLA) Los Angeles CA 90095 USA
California NanoSystems Institute (CNSI) University of California Los Angeles (UCLA) Los Angeles CA 90095 USA
References
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