Cargando…
Imaging biological tissue with high-throughput single-pixel compressive holography
Single-pixel holography (SPH) is capable of generating holographic images with rich spatial information by employing only a single-pixel detector. Thanks to the relatively low dark-noise production, high sensitivity, large bandwidth, and cheap price of single-pixel detectors in comparison to pixel-a...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342474/ https://www.ncbi.nlm.nih.gov/pubmed/34354073 http://dx.doi.org/10.1038/s41467-021-24990-0 |
_version_ | 1783734079311577088 |
---|---|
author | Wu, Daixuan Luo, Jiawei Huang, Guoqiang Feng, Yuanhua Feng, Xiaohua Zhang, Runsen Shen, Yuecheng Li, Zhaohui |
author_facet | Wu, Daixuan Luo, Jiawei Huang, Guoqiang Feng, Yuanhua Feng, Xiaohua Zhang, Runsen Shen, Yuecheng Li, Zhaohui |
author_sort | Wu, Daixuan |
collection | PubMed |
description | Single-pixel holography (SPH) is capable of generating holographic images with rich spatial information by employing only a single-pixel detector. Thanks to the relatively low dark-noise production, high sensitivity, large bandwidth, and cheap price of single-pixel detectors in comparison to pixel-array detectors, SPH is becoming an attractive imaging modality at wavelengths where pixel-array detectors are not available or prohibitively expensive. In this work, we develop a high-throughput single-pixel compressive holography with a space-bandwidth-time product (SBP-T) of 41,667 pixels/s, realized by enabling phase stepping naturally in time and abandoning the need for phase-encoded illumination. This holographic system is scalable to provide either a large field of view (~83 mm(2)) or a high resolution (5.80 μm × 4.31 μm). In particular, high-resolution holographic images of biological tissues are presented, exhibiting rich contrast in both amplitude and phase. This work is an important step towards multi-spectrum imaging using a single-pixel detector in biophotonics. |
format | Online Article Text |
id | pubmed-8342474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83424742021-08-20 Imaging biological tissue with high-throughput single-pixel compressive holography Wu, Daixuan Luo, Jiawei Huang, Guoqiang Feng, Yuanhua Feng, Xiaohua Zhang, Runsen Shen, Yuecheng Li, Zhaohui Nat Commun Article Single-pixel holography (SPH) is capable of generating holographic images with rich spatial information by employing only a single-pixel detector. Thanks to the relatively low dark-noise production, high sensitivity, large bandwidth, and cheap price of single-pixel detectors in comparison to pixel-array detectors, SPH is becoming an attractive imaging modality at wavelengths where pixel-array detectors are not available or prohibitively expensive. In this work, we develop a high-throughput single-pixel compressive holography with a space-bandwidth-time product (SBP-T) of 41,667 pixels/s, realized by enabling phase stepping naturally in time and abandoning the need for phase-encoded illumination. This holographic system is scalable to provide either a large field of view (~83 mm(2)) or a high resolution (5.80 μm × 4.31 μm). In particular, high-resolution holographic images of biological tissues are presented, exhibiting rich contrast in both amplitude and phase. This work is an important step towards multi-spectrum imaging using a single-pixel detector in biophotonics. Nature Publishing Group UK 2021-08-05 /pmc/articles/PMC8342474/ /pubmed/34354073 http://dx.doi.org/10.1038/s41467-021-24990-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wu, Daixuan Luo, Jiawei Huang, Guoqiang Feng, Yuanhua Feng, Xiaohua Zhang, Runsen Shen, Yuecheng Li, Zhaohui Imaging biological tissue with high-throughput single-pixel compressive holography |
title | Imaging biological tissue with high-throughput single-pixel compressive holography |
title_full | Imaging biological tissue with high-throughput single-pixel compressive holography |
title_fullStr | Imaging biological tissue with high-throughput single-pixel compressive holography |
title_full_unstemmed | Imaging biological tissue with high-throughput single-pixel compressive holography |
title_short | Imaging biological tissue with high-throughput single-pixel compressive holography |
title_sort | imaging biological tissue with high-throughput single-pixel compressive holography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342474/ https://www.ncbi.nlm.nih.gov/pubmed/34354073 http://dx.doi.org/10.1038/s41467-021-24990-0 |
work_keys_str_mv | AT wudaixuan imagingbiologicaltissuewithhighthroughputsinglepixelcompressiveholography AT luojiawei imagingbiologicaltissuewithhighthroughputsinglepixelcompressiveholography AT huangguoqiang imagingbiologicaltissuewithhighthroughputsinglepixelcompressiveholography AT fengyuanhua imagingbiologicaltissuewithhighthroughputsinglepixelcompressiveholography AT fengxiaohua imagingbiologicaltissuewithhighthroughputsinglepixelcompressiveholography AT zhangrunsen imagingbiologicaltissuewithhighthroughputsinglepixelcompressiveholography AT shenyuecheng imagingbiologicaltissuewithhighthroughputsinglepixelcompressiveholography AT lizhaohui imagingbiologicaltissuewithhighthroughputsinglepixelcompressiveholography |