Caicedo JC, Singh S, Carpenter AE. Applications in image-based profiling of perturbations. Curr Opin Biotechnol. 2016;39: 134–142.
Bray M-A, Singh S, Han H, et al. Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes. bioRxiv. 2016. 049817.
Singh S, Wu X, Ljosa V, et al. Morphological profiles of RNAi-induced gene knockdown are highly reproducible but dominated by seed effects. PLoS One. 2015;10:e0131370.
Singh S, Carpenter AE, Genovesio A. Increasing the content of high-content screening: An overview. J Biomol Screen. 2014;19:640–650.
Ljosa V, Caie PD, Ter Horst R, et al. Comparison of methods for image-based profiling of cellular morphological responses to small-molecule treatment. J Biomol Screen. 2013;18:1321–1329.
Shantanu Singh, Ph.D.
Shantanu Singh is a senior group leader in the Imaging Platform at the Broad Institute.
He develops computational tools to create fingerprints of genes and chemicals using microscopy images of cells, analyzing several millions of cells from hundreds of thousands of images to create these fingerprints. So far, his group’s work has shown that these fingerprints are highly specific, making them a very useful way of grouping genes (or compounds) in the quest to identify the function of unknown genes and alleles.
Prior to joining the Broad Institute, Shantanu worked as a research engineer for DaimlerChrysler India, followed by stints as an R&D Intern for GE Global Research (2008) and as a technical scholar for Livermore National Laboratory (2007) during his doctoral studies. He received his Ph.D. in computer science from The Ohio State University for his thesis focused on designing a computational framework for quantitative phenotyping of cell nuclei from fluorescence microscopy imaging.