Increasing Efficiency in Cell Line Development using the Celigo Imaging Cytometer

Read our featured white paper: Increasing Efficiency in Cell Line Development using the Celigo Imaging Cytometer

celigo-adherent-and-suspension-cellsIn this study, using the CHO cell line, the Celígo Imaging Cytometer was used to monitor transfection efficiency, identify passaging times, optimize media, identify single cells and track clone outgrowth, following previous studies detailing Celígo’s performance in tracking cell lineage and confluence [3, 4]. After transfection, cells were allowed to stabilize, then imaged in bright field and fluorescence to monitor and evaluate transfection efficiencies. As wells grew asynchronously, bright field imaging was used to track which wells needed passaging. As genetically modified isolated cells have decreased growth rates, design of experiment (DoE) methodologies and automated imaging were used for media formulation improvements to increase their growth and survival. Media supplements that have been shown to increase growth were tested with an eight parameter DoE [3 levels, 3 factors, and single output response]. While the identification of single cells in bright field is possible, using the fluorescent marker such as Cell Tracker Green or GFP to monitor the single cells proved advantageous. Wells growing a single cell were subsequently monitored for the formation of a colony, which also allowed for measurement of optimal passaging times of asynchronous clones. Overall, the Celigo Imaging Cytometer demonstrated the utility of automation in the development and monitoring of new CHO-based cell lines for increasing efficiency in cell line development.

cell line development
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By |2018-10-24T15:16:35+00:00September 9th, 2015|Categories: Celigo Application News|Tags: , |0 Comments

About the Author:

Leo Chan
Dr Leo Chan currently serves as the Technology R&D Manager at Nexcelom Bioscience LLC, Lawrence, MA. His research involves in the development of instrument and applications for the Celigo and Cellometer image cytometry system for detection and analysis of cells for oncology and immunology research. He is a member of the American Association of Cancer Research and the American Association of Immunologists. He received his B.S., M.S., and Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (2000-2008).

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