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Live-dead assay on unlabeled cells using phase imaging with computational specificity
Hu, Chenfei ; He, Shenghua ; Lee, Young Jae ; He, Yuchen ; Kong, Edward M ; Li, Hua ; Anastasio, Mark A ; Popescu, Gabriel
Nature communications, 2022-02, Vol.13 (1), p.713-713, Article 713
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題名:
Live-dead assay on unlabeled cells using phase imaging with computational specificity
著者:
Hu, Chenfei
;
He, Shenghua
;
Lee, Young Jae
;
He, Yuchen
;
Kong, Edward M
;
Li, Hua
;
Anastasio, Mark A
;
Popescu, Gabriel
主題:
Animals
;
Approximation
;
Cell Death - physiology
;
Cell Survival - physiology
;
Cell Tracking
;
Cell viability
;
CHO Cells
;
Computer applications
;
Concept learning
;
Cricetulus
;
Deep Learning
;
HeLa Cells
;
Humans
;
Imaging
;
Labelling
;
Microscopy, Phase-Contrast
;
Optical Imaging - instrumentation
;
Optical Imaging - methods
;
Reagents
;
Staining
所屬期刊:
Nature communications, 2022-02, Vol.13 (1), p.713-713, Article 713
描述:
Existing approaches to evaluate cell viability involve cell staining with chemical reagents. However, the step of exogenous staining makes these methods undesirable for rapid, nondestructive, and long-term investigation. Here, we present an instantaneous viability assessment of unlabeled cells using phase imaging with computation specificity. This concept utilizes deep learning techniques to compute viability markers associated with the specimen measured by label-free quantitative phase imaging. Demonstrated on different live cell cultures, the proposed method reports approximately 95% accuracy in identifying live and dead cells. The evolution of the cell dry mass and nucleus area for the labeled and unlabeled populations reveal that the chemical reagents decrease viability. The nondestructive approach presented here may find a broad range of applications, from monitoring the production of biopharmaceuticals to assessing the effectiveness of cancer treatments.
出版者:
England: Nature Publishing Group
語言:
英文
識別號:
ISSN: 2041-1723
EISSN: 2041-1723
DOI: 10.1038/s41467-022-28214-x
PMID: 35132059
資源來源:
Publicly Available Content Database
DOAJ Directory of Open Access Journals
連結
View this record in MEDLINE/PubMed
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