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Optical Data Compression in Time Stretch Imaging

Time stretch imaging offers real-time image acquisition at millions of frames per second and subnanosecond shutter speed, and has enabled detection of rare cancer cells in blood with record throughput and specificity. An unintended consequence of high throughput image acquisition is the massive amou...

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Detalles Bibliográficos
Autores principales: Chen, Claire Lifan, Mahjoubfar, Ata, Jalali, Bahram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408077/
https://www.ncbi.nlm.nih.gov/pubmed/25906244
http://dx.doi.org/10.1371/journal.pone.0125106
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author Chen, Claire Lifan
Mahjoubfar, Ata
Jalali, Bahram
author_facet Chen, Claire Lifan
Mahjoubfar, Ata
Jalali, Bahram
author_sort Chen, Claire Lifan
collection PubMed
description Time stretch imaging offers real-time image acquisition at millions of frames per second and subnanosecond shutter speed, and has enabled detection of rare cancer cells in blood with record throughput and specificity. An unintended consequence of high throughput image acquisition is the massive amount of digital data generated by the instrument. Here we report the first experimental demonstration of real-time optical image compression applied to time stretch imaging. By exploiting the sparsity of the image, we reduce the number of samples and the amount of data generated by the time stretch camera in our proof-of-concept experiments by about three times. Optical data compression addresses the big data predicament in such systems.
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spelling pubmed-44080772015-05-04 Optical Data Compression in Time Stretch Imaging Chen, Claire Lifan Mahjoubfar, Ata Jalali, Bahram PLoS One Research Article Time stretch imaging offers real-time image acquisition at millions of frames per second and subnanosecond shutter speed, and has enabled detection of rare cancer cells in blood with record throughput and specificity. An unintended consequence of high throughput image acquisition is the massive amount of digital data generated by the instrument. Here we report the first experimental demonstration of real-time optical image compression applied to time stretch imaging. By exploiting the sparsity of the image, we reduce the number of samples and the amount of data generated by the time stretch camera in our proof-of-concept experiments by about three times. Optical data compression addresses the big data predicament in such systems. Public Library of Science 2015-04-23 /pmc/articles/PMC4408077/ /pubmed/25906244 http://dx.doi.org/10.1371/journal.pone.0125106 Text en © 2015 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Chen, Claire Lifan
Mahjoubfar, Ata
Jalali, Bahram
Optical Data Compression in Time Stretch Imaging
title Optical Data Compression in Time Stretch Imaging
title_full Optical Data Compression in Time Stretch Imaging
title_fullStr Optical Data Compression in Time Stretch Imaging
title_full_unstemmed Optical Data Compression in Time Stretch Imaging
title_short Optical Data Compression in Time Stretch Imaging
title_sort optical data compression in time stretch imaging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408077/
https://www.ncbi.nlm.nih.gov/pubmed/25906244
http://dx.doi.org/10.1371/journal.pone.0125106
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