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Matrix Analysis of Warped Stretch Imaging

Sensitive and fast optical imaging is needed for scientific instruments, machine vision, and biomedical diagnostics. Many of the fundamental challenges are addressed with time stretch imaging, which has been used for ultrafast continuous imaging for a diverse range of applications, such as biomarker...

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Autores principales: Kim, Chanju, Mahjoubfar, Ata, Chan, Jacky C. K., Yazaki, Akio, Noh, Young-Chul, Jalali, Bahram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5593985/
https://www.ncbi.nlm.nih.gov/pubmed/28894142
http://dx.doi.org/10.1038/s41598-017-11238-5
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author Kim, Chanju
Mahjoubfar, Ata
Chan, Jacky C. K.
Yazaki, Akio
Noh, Young-Chul
Jalali, Bahram
author_facet Kim, Chanju
Mahjoubfar, Ata
Chan, Jacky C. K.
Yazaki, Akio
Noh, Young-Chul
Jalali, Bahram
author_sort Kim, Chanju
collection PubMed
description Sensitive and fast optical imaging is needed for scientific instruments, machine vision, and biomedical diagnostics. Many of the fundamental challenges are addressed with time stretch imaging, which has been used for ultrafast continuous imaging for a diverse range of applications, such as biomarker-free cell classification, the monitoring of laser ablation, and the inspection of flat panel displays. With frame rates exceeding a million scans per second, the firehose of data generated by the time stretch camera requires optical data compression. Warped stretch imaging technology utilizes nonuniform spectrotemporal optical operations to compress the image in a single-shot real-time fashion. Here, we present a matrix analysis method for the evaluation of these systems and quantify important design parameters and the spatial resolution. The key principles of the system include (1) time/warped stretch transformation and (2) the spatial dispersion of ultrashort optical pulse, which are traced with simple computation of ray-pulse matrix. Furthermore, a mathematical model is constructed for the simulation of imaging operations while considering the optical and electrical response of the system. The proposed analysis method was applied to an example time stretch imaging system via simulation and validated with experimental data.
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spelling pubmed-55939852017-09-14 Matrix Analysis of Warped Stretch Imaging Kim, Chanju Mahjoubfar, Ata Chan, Jacky C. K. Yazaki, Akio Noh, Young-Chul Jalali, Bahram Sci Rep Article Sensitive and fast optical imaging is needed for scientific instruments, machine vision, and biomedical diagnostics. Many of the fundamental challenges are addressed with time stretch imaging, which has been used for ultrafast continuous imaging for a diverse range of applications, such as biomarker-free cell classification, the monitoring of laser ablation, and the inspection of flat panel displays. With frame rates exceeding a million scans per second, the firehose of data generated by the time stretch camera requires optical data compression. Warped stretch imaging technology utilizes nonuniform spectrotemporal optical operations to compress the image in a single-shot real-time fashion. Here, we present a matrix analysis method for the evaluation of these systems and quantify important design parameters and the spatial resolution. The key principles of the system include (1) time/warped stretch transformation and (2) the spatial dispersion of ultrashort optical pulse, which are traced with simple computation of ray-pulse matrix. Furthermore, a mathematical model is constructed for the simulation of imaging operations while considering the optical and electrical response of the system. The proposed analysis method was applied to an example time stretch imaging system via simulation and validated with experimental data. Nature Publishing Group UK 2017-09-11 /pmc/articles/PMC5593985/ /pubmed/28894142 http://dx.doi.org/10.1038/s41598-017-11238-5 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kim, Chanju
Mahjoubfar, Ata
Chan, Jacky C. K.
Yazaki, Akio
Noh, Young-Chul
Jalali, Bahram
Matrix Analysis of Warped Stretch Imaging
title Matrix Analysis of Warped Stretch Imaging
title_full Matrix Analysis of Warped Stretch Imaging
title_fullStr Matrix Analysis of Warped Stretch Imaging
title_full_unstemmed Matrix Analysis of Warped Stretch Imaging
title_short Matrix Analysis of Warped Stretch Imaging
title_sort matrix analysis of warped stretch imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5593985/
https://www.ncbi.nlm.nih.gov/pubmed/28894142
http://dx.doi.org/10.1038/s41598-017-11238-5
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