Exhibitor Tutorial

It’s a Marathon, Not a Sprint – Automating Cell Line Development

Monday, February 5
12:30 PM - 1:15 PM
Location: Room 2

Cell line development is a highly-involved, multi-week workflow that involves the plating, screening, and expansion of single cell-derived colonies to establish a protein-expression cell line. This complex process required significant throughput of sterile cell manipulations, long-term incubations, centrifugation, cell counting, monoclonality determination and growth tracking, and protein production assessment. Automating the cell line development process on the Biomek i7 Automated Workstation enabled us to meet the throughput needed for the workflow while minimizing the manual errors that lead to costly rework. Assay data from multiple instruments and time points were used as toll gates to identify the wells that met the criteria to continue through the lengthy process and these data ultimately drove automated hit-picking and cell expansion. We will also discuss the instrument and data integration tools that improve workflow efficiency and data integrity and how overlapping campaigns can be scheduled to maximize system utilization.

Kiley Simmons


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Michael Kowalski

Staff Applications Scientist
Beckman Coulter Life Sciences

Michael Kowalski is a Staff Applications Scientist in the Drug Discovery and Basic Research group of Beckman Coulter Life Sciences. Dr. Kowalski received his Ph.D. in Microbiology and Molecular Genetics from Harvard University where he studied the molecular mechanisms of P. aeruginosa infection in cystic fibrosis airways. As a postdoctoral fellow at the Novartis Institutes for Biomedical Research, Dr. Kowalski used RNAi screening to identify novel regulators of stem cell pluripotency and differentiation. Since joining Beckman Coulter, Dr. Kowalski has used automation to empower a diverse array of research areas including optimizing directed stem cell differentiation, screening miRNA libraries for regulators of apoptosis, high content imaging of 3D cell cultures, and high-throughput proteomics for biomarker discovery.


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It’s a Marathon, Not a Sprint – Automating Cell Line Development

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