Predicting productivity in CHO cells based on co-occurrence of metabolism-related features in simultaneous label-free autofluorescence multiharmonic (SLAM) microscopy

Alexander Ho; Jindou Shi; Eric Chaney; Janet Sorrells; Kevin Tan; Aneesh Alex; Remben Talaban; Darold R. Spillman; Marina Marjanovic; Minh Doan; Steve R. Hood; Stephen A. Boppart

doi:10.1117/12.3003094

13 March 2024 Predicting productivity in CHO cells based on co-occurrence of metabolism-related features in simultaneous label-free autofluorescence multiharmonic (SLAM) microscopy

Alexander Ho, Jindou Shi, Eric Chaney, Janet Sorrells, Kevin Tan, Aneesh Alex, Remben Talaban, Darold R. Spillman, Marina Marjanovic, Minh Doan, Steve R. Hood, Stephen A. Boppart

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Proceedings Volume PC12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024; PC1285407 (2024) https://doi.org/10.1117/12.3003094
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Efficient cell line development is crucial for optimizing biopharmaceutical production. We demonstrate the potential of SLAM and FLIM microscopy to optimize this process by correlating metabolism-related features with measured productivity in early CHO cell passages. Eight CHO cell lines were imaged using SLAM and FLIM microscopy, and a pipeline was developed to classify the cells. A linear SVM achieved 95% accuracy in predicting productivity. Important features and their channel affiliations were identified, revealing optical metabolic characteristics from NAD(P)H and FAD associated with productivity. SLAM features correlated with growth and viability, while FLIM features correlated with protein production, highlighting the importance of multimodal label-free imaging.

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Alexander Ho, Jindou Shi, Eric Chaney, Janet Sorrells, Kevin Tan, Aneesh Alex, Remben Talaban, Darold R. Spillman, Marina Marjanovic, Minh Doan, Steve R. Hood, and Stephen A. Boppart "Predicting productivity in CHO cells based on co-occurrence of metabolism-related features in simultaneous label-free autofluorescence multiharmonic (SLAM) microscopy", Proc. SPIE PC12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024, PC1285407 (13 March 2024); https://doi.org/10.1117/12.3003094

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KEYWORDS

Microscopy

Autofluorescence

Fluorescence lifetime imaging

Feature extraction

Monte Carlo methods

Multimodal imaging

Ovary

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