Automated Analysis of siRNA Screens of Virus Infected Cells Based on Immunofluorescence Microscopy

Abstract. We present an image analysis approach as part of a highthroughput microscopy screening system based on cell arrays for the identification of genes involved in Hepatitis C and Dengue virus replication. Our approach comprises: cell nucleus segmentation, quantification of virus replication level in cells, localization of regions with transfected cells, cell classification by infection status, and quality assessment of an experiment. The approach is fully automatic and has been successfully applied to a large number of cell array images from screening experiments. The experimental results show a good agreement with the expected behavior of positive as well as negative controls and encourage the application to screens from further high-throughput experiments.

• Type: Conference
• Year: 2008
• Where: BILDMED
• Authors: Petr Matula, Anil Kumar, Ilka Wörz, Nathalie Harder, Holger Erfle, Ralf Bartenschlager, Roland Eils, Karl Rohr
• Keywords: Algorithms, BILDMED 2008, Cell Array, Cell Nucleus Segmentation, Virus Replication