New methods for automated phenotyping of complex cellular behaviors

التفاصيل البيبلوغرافية
العنوان: New methods for automated phenotyping of complex cellular behaviors
المؤلفون: P.G. Roberts, A.A. Hack, Arman Garakani, J. Ahouse
المصدر: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 2004
سنة النشر: 2007
مصطلحات موضوعية: Biomedical computing, Image storage, Shape change, Genomics, Computational biology, Biology, Proteomics, Image capture, Software implementation, Cellular biophysics, Cell biology
الوصف: Cellular shape change and movement are central to biologic processes that range from normal embryonic development to inflammatory diseases and cancer. Quantitative visual phenotyping of dynamic cellular behaviors creates unique challenges for image capture, analysis and storage. Despite substantial technological advances in molecular biology, biochemistry, genomics and proteomics, investigating cellular processes remains tremendously challenging and labor-intensive. We have developed algorithms and software implementations that allow for fully-automated analysis of experiments designed to investigate a range of cellular and organismal behaviors. By enabling cellular phenotyping, this automated approach creates a unique opportunity for investigators to perform large-scale experiments designed to determine gene function or to screen for small molecule modulators of important cellular behaviors.
تدمد: 1557-170X
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd46e8d18cf2cf4ac4355bbb1a787b0fTest
https://pubmed.ncbi.nlm.nih.gov/17271475Test
رقم الانضمام: edsair.doi.dedup.....fd46e8d18cf2cf4ac4355bbb1a787b0f
قاعدة البيانات: OpenAIRE