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Speckle-Correlation Scattering Matrix Approaches for Imaging and Sensing through Turbidity

The development of optical and computational techniques has enabled imaging without the need for traditional optical imaging systems. Modern lensless imaging techniques overcome several restrictions imposed by lenses, while preserving or even surpassing the capability of lens-based imaging. However,...

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Autores principales: Baek, YoonSeok, Lee, KyeoReh, Oh, Jeonghun, Park, YongKeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309038/
https://www.ncbi.nlm.nih.gov/pubmed/32498322
http://dx.doi.org/10.3390/s20113147
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author Baek, YoonSeok
Lee, KyeoReh
Oh, Jeonghun
Park, YongKeun
author_facet Baek, YoonSeok
Lee, KyeoReh
Oh, Jeonghun
Park, YongKeun
author_sort Baek, YoonSeok
collection PubMed
description The development of optical and computational techniques has enabled imaging without the need for traditional optical imaging systems. Modern lensless imaging techniques overcome several restrictions imposed by lenses, while preserving or even surpassing the capability of lens-based imaging. However, existing lensless methods often rely on a priori information about objects or imaging conditions. Thus, they are not ideal for general imaging purposes. The recent development of the speckle-correlation scattering matrix (SSM) techniques facilitates new opportunities for lensless imaging and sensing. In this review, we present the fundamentals of SSM methods and highlight recent implementations for holographic imaging, microscopy, optical mode demultiplexing, and quantification of the degree of the coherence of light. We conclude with a discussion of the potential of SSM and future research directions.
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spelling pubmed-73090382020-06-25 Speckle-Correlation Scattering Matrix Approaches for Imaging and Sensing through Turbidity Baek, YoonSeok Lee, KyeoReh Oh, Jeonghun Park, YongKeun Sensors (Basel) Review The development of optical and computational techniques has enabled imaging without the need for traditional optical imaging systems. Modern lensless imaging techniques overcome several restrictions imposed by lenses, while preserving or even surpassing the capability of lens-based imaging. However, existing lensless methods often rely on a priori information about objects or imaging conditions. Thus, they are not ideal for general imaging purposes. The recent development of the speckle-correlation scattering matrix (SSM) techniques facilitates new opportunities for lensless imaging and sensing. In this review, we present the fundamentals of SSM methods and highlight recent implementations for holographic imaging, microscopy, optical mode demultiplexing, and quantification of the degree of the coherence of light. We conclude with a discussion of the potential of SSM and future research directions. MDPI 2020-06-02 /pmc/articles/PMC7309038/ /pubmed/32498322 http://dx.doi.org/10.3390/s20113147 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Baek, YoonSeok
Lee, KyeoReh
Oh, Jeonghun
Park, YongKeun
Speckle-Correlation Scattering Matrix Approaches for Imaging and Sensing through Turbidity
title Speckle-Correlation Scattering Matrix Approaches for Imaging and Sensing through Turbidity
title_full Speckle-Correlation Scattering Matrix Approaches for Imaging and Sensing through Turbidity
title_fullStr Speckle-Correlation Scattering Matrix Approaches for Imaging and Sensing through Turbidity
title_full_unstemmed Speckle-Correlation Scattering Matrix Approaches for Imaging and Sensing through Turbidity
title_short Speckle-Correlation Scattering Matrix Approaches for Imaging and Sensing through Turbidity
title_sort speckle-correlation scattering matrix approaches for imaging and sensing through turbidity
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309038/
https://www.ncbi.nlm.nih.gov/pubmed/32498322
http://dx.doi.org/10.3390/s20113147
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