High Content Screening for Target and Pathway Analysis in Cell Based Assays
Conference Recording Aug 11, 2014
About the Speaker
Dr. Fava's research has been focused on the neurodegenerative field and the use of advanced cell based technique to understand the molecular mechanisms involved in cell function and pathology. Dr Fava is now focusing his scientific activities in the integration of high content data with computational and research methods to develop new methods to be applied to cell biology and early drug discovery.Abstract
High content imaging and analysis has revolutionized the way in which scientists look at microscopy images. In particular, digital imaging has enabled scientists to obtain quantitative data from images and therefore passing from a subjective to a data driven interpretation of the microscopy images. The combination of digital imaging with microscopy and laboratory automation led to the ability for cell biologist to generate large experimental data set obtained from cell-based assays. This approach has now been used in several paradigms ranging from early drug discovery to loss/gain of function experiments/screens. The ability to produce large-scale experiments led to the generation of large data set obtained by high content imaging/analysis. Here we discuss how to use a computational approach to use the quantitative data obtained by high content screening (HCS) in order to gain information on target and pathway analysis of the hits generated in HCS.