Category: Assay Development and Screening
There is a need to automate imaging of complex cell-based assays with multi-parametric data output, while maintaining high image quality and throughput. We provide the results from a new type of imaging and analysis system and software for cell-based assays. The imager provides 4 fluorescence channels plus transmitted light, with a variety of magnifications to enable automatic monitoring of cell proliferation, differentiation, compound toxicity, and a variety of other cell-based assays. The analysis software uses novel algorithms for object recognition that simplify workflow and analysis and provide multi-parametric readouts. We present several examples of multi-parametric compound toxicity assays utilizing iPSC-derived cardiomyocytes, neurons, and hepatocytes. Multiple read-outs include cell viability, apoptosis, mitochondria potential and autophagy for defining mechanisms of toxicity for pharmaceutical drugs and environmental agents. Also, we provide examples of label–free cell analysis used for evaluation of cytotoxicity and cell proliferation, as well as examples of cell signaling and GPCR activation readouts that could be performed as kinetic assays. We demonstrate the utility of a new automated imaging system for biologic research and present several assay models that will be useful for both academic and bio-pharma environments.
Oksana Sirenko– Sr. Scientist, Molecular Devices LLC, Sunnyvale, California