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Publications

Journal Article Epublish 8 citations

PubMed: 36388128 DOI: 10.3389/fphys.2022.1040777

Cell image reconstruction using digital holography with an improved GS algorithm.

Front Physiol 13:1040777

Authors: Yuhao Jiang, Hongzhong Li, Yu Pang, Jiwei Ling, Hao Wang, Yuling Yang, Xinyu Li, Yin Tian, Xiuxin Wang

Affiliations

  • Institute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing, China. Central Nervous System Drug Key Laboratory of Sichuan Province, Luzhou, China.
  • School of Civil Engineering, Guangdong Communication Polytechnic, Guangzhou, China.
  • Institute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing, China.
  • Institute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing, China. Guangyang Bay Laboratory, Chongqing Institute for Brain and Intelligence, Chongqing, China.
  • Institute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing, China. Key Laboratory of Opto-technology and Intelligent Control, Ministry of Education, Lanzhou Jiaotong University, Lanzhou, China.

Abstract

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.

MeSH

Cells, Erythrocytes, Holography, Algorithms, Quantitative Phase Imaging