Advertisement
Published in:
2012 | OriginalPaper | Chapter
Cell Tracking for Automatic Migration and Proliferation Analysis in High-Throughput Screens
Authors : Nathalie Harder, Richa Batra, Sina Gogolin, Nicolle Diessl, Roland Eils, Frank Westermann, Rainer König, Karl Rohr
Published in: Bildverarbeitung für die Medizin 2012
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Systematic analysis of cell migration and proliferation in large-scale image-based screens is important for the final evaluation as well as for optimization of experimental conditions. We here present a tracking approach for high-throughput image data, and extract global movement and growth patterns on a large scale. In particular, we analyze between-spot movement on cell arrays to estimate the confidence of the phenotypic readout, we determine the cellular reproduction time, and we automatically detect multi-polar divisions to support the identification of target genes. A quantitative evaluation of our approach showed that high segmentation and tracking accuracies of 92% and 98% are reached.