Cargando…
Cell image reconstruction using digital holography with an improved GS algorithm
Digital holography is an effective technology in image reconstruction as amplitude and phase information of cells can be acquired without any staining. In this paper, we propose a holographic technique with an improved Gerchberg-Saxton (GS) algorithm to reconstruct cell imaging based on phase recons...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659819/ https://www.ncbi.nlm.nih.gov/pubmed/36388128 http://dx.doi.org/10.3389/fphys.2022.1040777 |
_version_ | 1784830283187486720 |
---|---|
author | Jiang, Yuhao Li, Hongzhong Pang, Yu Ling, Jiwei Wang, Hao Yang, Yuling Li, Xinyu Tian, Yin Wang, Xiuxin |
author_facet | Jiang, Yuhao Li, Hongzhong Pang, Yu Ling, Jiwei Wang, Hao Yang, Yuling Li, Xinyu Tian, Yin Wang, Xiuxin |
author_sort | Jiang, Yuhao |
collection | PubMed |
description | Digital holography is an effective technology in image reconstruction as amplitude and phase information of cells can be acquired without any staining. In this paper, we propose a holographic technique with an improved Gerchberg-Saxton (GS) algorithm to reconstruct cell imaging based on phase reconstruction information. Comparative experiments are conducted on four specific models to investigate the effectiveness of the proposed method. The morphological parameters (such as shape, volume, and sphericity) of abnormal erythrocytes can be obtained by reconstructing cell hologram of urinary sediment. Notably, abnormal red blood cells can also be detected in mussy circumstances by the proposed method, owing to the significantly biophysical contrast (refractive index distribution and mass density) between two different cells. Therefore, this proposed method has a broad application prospect in cell image reconstruction and cell dynamic detection. |
format | Online Article Text |
id | pubmed-9659819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96598192022-11-15 Cell image reconstruction using digital holography with an improved GS algorithm Jiang, Yuhao Li, Hongzhong Pang, Yu Ling, Jiwei Wang, Hao Yang, Yuling Li, Xinyu Tian, Yin Wang, Xiuxin Front Physiol Physiology Digital holography is an effective technology in image reconstruction as amplitude and phase information of cells can be acquired without any staining. In this paper, we propose a holographic technique with an improved Gerchberg-Saxton (GS) algorithm to reconstruct cell imaging based on phase reconstruction information. Comparative experiments are conducted on four specific models to investigate the effectiveness of the proposed method. The morphological parameters (such as shape, volume, and sphericity) of abnormal erythrocytes can be obtained by reconstructing cell hologram of urinary sediment. Notably, abnormal red blood cells can also be detected in mussy circumstances by the proposed method, owing to the significantly biophysical contrast (refractive index distribution and mass density) between two different cells. Therefore, this proposed method has a broad application prospect in cell image reconstruction and cell dynamic detection. Frontiers Media S.A. 2022-10-31 /pmc/articles/PMC9659819/ /pubmed/36388128 http://dx.doi.org/10.3389/fphys.2022.1040777 Text en Copyright © 2022 Jiang, Li, Pang, Ling, Wang, Yang, Li, Tian and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Jiang, Yuhao Li, Hongzhong Pang, Yu Ling, Jiwei Wang, Hao Yang, Yuling Li, Xinyu Tian, Yin Wang, Xiuxin Cell image reconstruction using digital holography with an improved GS algorithm |
title | Cell image reconstruction using digital holography with an improved GS algorithm |
title_full | Cell image reconstruction using digital holography with an improved GS algorithm |
title_fullStr | Cell image reconstruction using digital holography with an improved GS algorithm |
title_full_unstemmed | Cell image reconstruction using digital holography with an improved GS algorithm |
title_short | Cell image reconstruction using digital holography with an improved GS algorithm |
title_sort | cell image reconstruction using digital holography with an improved gs algorithm |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659819/ https://www.ncbi.nlm.nih.gov/pubmed/36388128 http://dx.doi.org/10.3389/fphys.2022.1040777 |
work_keys_str_mv | AT jiangyuhao cellimagereconstructionusingdigitalholographywithanimprovedgsalgorithm AT lihongzhong cellimagereconstructionusingdigitalholographywithanimprovedgsalgorithm AT pangyu cellimagereconstructionusingdigitalholographywithanimprovedgsalgorithm AT lingjiwei cellimagereconstructionusingdigitalholographywithanimprovedgsalgorithm AT wanghao cellimagereconstructionusingdigitalholographywithanimprovedgsalgorithm AT yangyuling cellimagereconstructionusingdigitalholographywithanimprovedgsalgorithm AT lixinyu cellimagereconstructionusingdigitalholographywithanimprovedgsalgorithm AT tianyin cellimagereconstructionusingdigitalholographywithanimprovedgsalgorithm AT wangxiuxin cellimagereconstructionusingdigitalholographywithanimprovedgsalgorithm |