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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4408077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chenclairelifan opticaldatacompressionintimestretchimaging AT mahjoubfarata opticaldatacompressionintimestretchimaging AT jalalibahram opticaldatacompressionintimestretchimaging |