15 March 2023Characterization of Chinese hamster ovary (CHO) cell lines by simultaneous label-free autofluorescence multi-harmonic (SLAM) microscopy for upstream bioprocessing (Conference Presentation)
1Beckman Institute for Advanced Science and Technology, Univ. of Illinois (United States) 2Univ. of Illinois (United States) 3GlaxoSmithKline (United States) 4GlaxoSmithKline (United Kingdom)
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In the production of biotherapeutics, Chinese hamster ovary (CHO) cells are known as the gold standard. One challenge in the development of these cell lines is the identification of high expressing, yet stable CHO cells. Here we apply simultaneous label-free autofluorescence multi-harmonic (SLAM) microscopy to four CHO cell lines of varying levels of productivity and stability. With the assistance of machine learning, we were able to classify the CHO cell lines into their respective categories with an accuracy of 85%. Application of this CHO cell characterization technology to upstream bioprocessing can potentially improve workflows such as high-throughput screening and monitoring.
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Alexander Ho, Jindou Shi, Eric Chaney, Corey Snyder, Aneesh Alex, Remben Talaban, Janet Sorrells, Darold R. Spillman Jr., Marina Marjanovic, Steve R. Hood, Stephen A. Boppart, "Characterization of Chinese hamster ovary (CHO) cell lines by simultaneous label-free autofluorescence multi-harmonic (SLAM) microscopy for upstream bioprocessing (Conference Presentation)," Proc. SPIE PC12383, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXI, PC1238302 (15 March 2023); https://doi.org/10.1117/12.2646378