Novel Approach Using Real‐Time Dynamic Imaging Analysis to Monitor Cellular Apoptosis, Viability, and Cell Density in CHO Cell‐Based Bioprocesses for Monoclonal Antibody Production

We investigated an analytical method based on dynamic imaging analysis (DIA) for monitoring cellular apoptosis, viability, and cell density. Trypan blue and flow cytometry were used as reference methods. The DIA method showed results comparable to the traditional methods, with clear advantages (label-free and in-line real-time monitoring capability). The DIA method successfully traced the trajectory of cell death progress, detecting the onset of apoptosis earlier than the other methods.

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Publication Details

Journal
Biotechnology Journal
Published
2025-04-01
DOI
https://doi.org/10.1002/biot.70018
Citations
3
Primary Topic
Viral Infectious Diseases and Gene Expression in Insects
Type
article
Field-Weighted Citation Impact
2.42

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article

Novel Approach Using Real‐Time Dynamic Imaging Analysis to Monitor Cellular Apoptosis, Viability, and Cell Density in CHO Cell‐Based Bioprocesses for Monoclonal Antibody Production

Yuxiang Zhao, Claudia C. Corredor, Suyang Wu, James K. Drennen et al.
3 citations
Biotechnology Journal
Viral Infectious Diseases and Gene Expression in Insects
2.42
article

Novel Approach Using Real‐Time Dynamic Imaging Analysis to Monitor Cellular Apoptosis, Viability, and Cell Density in CHO Cell‐Based Bioprocesses for Monoclonal Antibody Production

Yuxiang Zhao, Claudia C. Corredor, Suyang Wu, James K. Drennen, Carl A. Anderson
article en
3 citations

Abstract

We investigated an analytical method based on dynamic imaging analysis (DIA) for monitoring cellular apoptosis, viability, and cell density. Trypan blue and flow cytometry were used as reference methods. The DIA method showed results comparable to the traditional methods, with clear advantages (label-free and in-line real-time monitoring capability). The DIA method successfully traced the trajectory of cell death progress, detecting the onset of apoptosis earlier than the other methods.

Biotechnology JournalVol. 20(4)
Duquesne University (US), Bristol-Myers Squibb (United States) (US)
Syracuse University
Openalex Percentile: Top 12%
Viral Infectious Diseases and Gene Expression in Insects
2.42
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