DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning
Dictionary light-field microscopy (DiLFM) substantially eliminates various kinds of reconstruction artifacts and improves the noise robustness. Using DiLFM yields accurate observation of zebrafish blood flow at 100 Hz in low-light conditions.
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Nature Publishing Group
2021-07-01
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Series: | Light: Science & Applications |
Online Access: | https://doi.org/10.1038/s41377-021-00587-6 |
_version_ | 1828130074790985728 |
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author | Yuanlong Zhang Bo Xiong Yi Zhang Zhi Lu Jiamin Wu Qionghai Dai |
author_facet | Yuanlong Zhang Bo Xiong Yi Zhang Zhi Lu Jiamin Wu Qionghai Dai |
author_sort | Yuanlong Zhang |
collection | DOAJ |
description | Dictionary light-field microscopy (DiLFM) substantially eliminates various kinds of reconstruction artifacts and improves the noise robustness. Using DiLFM yields accurate observation of zebrafish blood flow at 100 Hz in low-light conditions. |
first_indexed | 2024-04-11T16:29:11Z |
format | Article |
id | doaj.art-60c86dab085d463ba9614ae88c427d98 |
institution | Directory Open Access Journal |
issn | 2047-7538 |
language | English |
last_indexed | 2024-04-11T16:29:11Z |
publishDate | 2021-07-01 |
publisher | Nature Publishing Group |
record_format | Article |
series | Light: Science & Applications |
spelling | doaj.art-60c86dab085d463ba9614ae88c427d982022-12-22T04:14:05ZengNature Publishing GroupLight: Science & Applications2047-75382021-07-0110111210.1038/s41377-021-00587-6DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learningYuanlong Zhang0Bo Xiong1Yi Zhang2Zhi Lu3Jiamin Wu4Qionghai Dai5Department of Automation, Tsinghua UniversityDepartment of Automation, Tsinghua UniversityDepartment of Automation, Tsinghua UniversityDepartment of Automation, Tsinghua UniversityDepartment of Automation, Tsinghua UniversityDepartment of Automation, Tsinghua UniversityDictionary light-field microscopy (DiLFM) substantially eliminates various kinds of reconstruction artifacts and improves the noise robustness. Using DiLFM yields accurate observation of zebrafish blood flow at 100 Hz in low-light conditions.https://doi.org/10.1038/s41377-021-00587-6 |
spellingShingle | Yuanlong Zhang Bo Xiong Yi Zhang Zhi Lu Jiamin Wu Qionghai Dai DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning Light: Science & Applications |
title | DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning |
title_full | DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning |
title_fullStr | DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning |
title_full_unstemmed | DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning |
title_short | DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning |
title_sort | dilfm an artifact suppressed and noise robust light field microscopy through dictionary learning |
url | https://doi.org/10.1038/s41377-021-00587-6 |
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