Automated classification of mitotic phenotypes of human cells using fluorescent proteins
- PMID: 18155478
- DOI: 10.1016/S0091-679X(08)85023-6
Automated classification of mitotic phenotypes of human cells using fluorescent proteins
Abstract
High-throughput screens of the gene function provide rapidly increasing amounts of data. In particular, the analysis of image data acquired in genome-wide cell phenotype screens constitutes a substantial bottleneck in the evaluation process and motivates the development of automated image analysis tools for large-scale experiments. In this chapter, we present a computational scheme to process multicell time-lapse images as they are produced in high-throughput screens. We describe an approach to automatically segment and classify cell nuclei into different mitotic phenotypes. This enables automated identification of cell cultures that show an abnormal mitotic behavior. Our scheme proves high classification accuracy, suggesting a promising future for automating the evaluation of high-throughput experiments.
Similar articles
-
Automated analysis of the mitotic phases of human cells in 3D fluorescence microscopy image sequences.Med Image Comput Comput Assist Interv. 2006;9(Pt 1):840-8. doi: 10.1007/11866565_103. Med Image Comput Comput Assist Interv. 2006. PMID: 17354969
-
A computerized cellular imaging system for high content analysis in Monastrol suppressor screens.J Biomed Inform. 2006 Apr;39(2):115-25. doi: 10.1016/j.jbi.2005.05.008. Epub 2005 Jun 22. J Biomed Inform. 2006. PMID: 16011909
-
High-throughput RNAi screening by time-lapse imaging of live human cells.Nat Methods. 2006 May;3(5):385-90. doi: 10.1038/nmeth876. Nat Methods. 2006. PMID: 16628209
-
High throughput microscopy: from raw images to discoveries.J Cell Sci. 2007 Nov 1;120(Pt 21):3715-22. doi: 10.1242/jcs.013623. J Cell Sci. 2007. PMID: 17959627 Review.
-
Computational processing and analysis of dynamic fluorescence image data.Methods Cell Biol. 2008;85:497-538. doi: 10.1016/S0091-679X(08)85022-4. Methods Cell Biol. 2008. PMID: 18155477 Review.
Cited by
-
miR-17-5p regulates endocytic trafficking through targeting TBC1D2/Armus.PLoS One. 2012;7(12):e52555. doi: 10.1371/journal.pone.0052555. Epub 2012 Dec 20. PLoS One. 2012. PMID: 23285084 Free PMC article.
-
A time-series method for automated measurement of changes in mitotic and interphase duration from time-lapse movies.PLoS One. 2011;6(9):e25511. doi: 10.1371/journal.pone.0025511. Epub 2011 Sep 26. PLoS One. 2011. PMID: 21966537 Free PMC article.
-
Phenotypic profiling of the human genome reveals gene products involved in plasma membrane targeting of SRC kinases.Genome Res. 2011 Nov;21(11):1955-68. doi: 10.1101/gr.116087.110. Epub 2011 Jul 27. Genome Res. 2011. PMID: 21795383 Free PMC article.
-
Characterizing protein interactions employing a genome-wide siRNA cellular phenotyping screen.PLoS Comput Biol. 2014 Sep 25;10(9):e1003814. doi: 10.1371/journal.pcbi.1003814. eCollection 2014 Sep. PLoS Comput Biol. 2014. PMID: 25255318 Free PMC article.
-
Unsupervised automated high throughput phenotyping of RNAi time-lapse movies.BMC Bioinformatics. 2013 Oct 4;14:292. doi: 10.1186/1471-2105-14-292. BMC Bioinformatics. 2013. PMID: 24090185 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
