Friday, October 4 • 9:35am - 9:55am
AI in Screening- Image-based Profiling Using Deep Learning

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Image-based Profiling Using Deep Learning
Biological images have been used in research for a long time. In the past, microscopy images were used as qualitative data to display example phenotypes or for visual inspection of experiments. Now, images are used as quantitative sources of information, providing hundreds of parameters of cell state that discriminate different conditions. In this talk, I will cover the main steps of an image analysis workflow that transforms images into single-cell measurements, and will discuss computational approaches that include modern deep learning methods that we have developed in our lab. I will also present biological applications of image-based profiling, including my own research work to study genetic mutations in lung cancer.

avatar for Juan Caicedo

Juan Caicedo

Research Fellow, Broad Institute of Harvard and
Juan Caicedo is a Research Fellow at the Broad Institute of MIT and Harvard, where he investigates the use of deep learning to analyze microscopy images. Previous to this, he studied object detection problems in large scale image collections also using deep learning, at the University... Read More →

avatar for Franck Madoux, PhD

Franck Madoux, PhD

Principal Scientist, Amgen
Franck Madoux heads Amgen’s Ultra-High Throughput Screening (UHTS) group where he and his team are involved in the early phases of drug discovery for small molecules via the execution of large scale biochemical, cell-based and high content assays in miniaturized formats and the... Read More →

Friday October 4, 2019 9:35am - 9:55am
Theater Ballroom (5th Fl) - Courtyard Boston Downtown 275 Tremont Street, Boston, MA 02116