ZEISS Tech Talks at ASCB 2017
Robust label free cell proliferation measurement with ZEISS Celldiscoverer 7 and machine learning based image processing

Label-free cell proliferation assays based on contrast imaging can be easily applied on an automated microscopy setup to test toxicity of compounds. No additional assay development steps such as reporter-systems or stably transfected cell models need to be established and the same assay approach can be introduced for several cell models with low effort. However, the image analysis of transmitted light contrast images is much more demanding than simple intensity thresholding, which is often sufficient for fluorescent micrographs. Here we present a robust workflow for cell proliferation measurements where images are taken at large scale with the ZEISS Celldiscoverer 7 and subsequently analyzed with big data analysis techniques based on supervised machine learning.