Abstract
We present an image analysis approach as part of a high-throughput 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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Dam EM, Pelkmans L. Systems biology of virus entry in mammalian cells. Cell Microbiol. 2006;8(8):1219–27.
Wählby C, Lindblad J, Vondrus M, et al. Algorithms for cytoplasm segmentation of fluorescence labelled cells. Anal Cell Pathol. 2002;24:101–11.
Würflinger T, Stockhausen J, Meyer-Ebrecht D, et al. Robust automatic coregistration, segmentation, and classification of cell nuclei in multimodal cytopathological microscopic images. Comput Med Imaging Graph. 2004;28(1–2):87–98.
Elter M, Daum V, Wittenberg T. Maximum-intensity-linking for segmentation of fluorescence-stained cells. Proc MIAAB. 2006; p. 46–50.
Harder N, Mora-Bermúdez F, Godinez WJ, et al. Automated analysis of the mitotic phases of human cells in 3D fluorescence microscopy image sequences. Lect Note Comp Sci. 2006;4190:840–8.
Li F, Zhou X, Ma J, et al. An automated feedback system with the hybrid model of scoring and classification for solving over-segmentation problems in RNAi high-content screening. J Microsc. 2007;226(2):121–32.
Erfle H, Simpson JC, Bastiaens PIH, et al. siRNA cell arrays for high-content screening microscopy. Biotechnol. 2004;37(3):454–62.
Gonzalez RC, Woods RE. Digital Image Processing. Prentice Hall; 2002.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Matula, P. et al. (2008). Automated Analysis of siRNA Screens of Virus Infected Cells Based on Immunofluorescence Microscopy. In: Tolxdorff, T., Braun, J., Deserno, T.M., Horsch, A., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2008. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78640-5_91
Download citation
DOI: https://doi.org/10.1007/978-3-540-78640-5_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78639-9
Online ISBN: 978-3-540-78640-5
eBook Packages: Computer Science and Engineering (German Language)