Mr. Arpit Tandon and Dr. Ruchir Shah of Sciome to Present at ASCCT 9th Annual Meeting

Mr. Arpit Tandon and Dr. Ruchir Shah of Sciome to Present at ASCCT 9th Annual Meeting

The American Society for Cellular and Computational Toxicology (ASCCT) 9th Annual Meeting, being held virtually October 20-22, aims to eliminate reliance on mammalian tests to make regulatory decisions. As part of this meeting, Arpit Tandon and Ruchir Shah will present recent work focused towards automation of high-throughput toxicology assay image analysis using deep learning. Automated approaches to perform high throughput toxicology often employ microscopy to capture photomicrographs from multi-well cell culture plates generating thousands of images that require time-consuming human analysis. To automate this subjective and time-consuming manual process, Sciome and NIEHS researchers have developed a method that uses deep learning to automatically classify digital assay images. By training a convolutional neural network (CNN) to perform binary and multi-class classification, testing and fine-turning various CNN architectures, and employing Class Activation Maps (CAM), deep-learning based image classification of cell toxicity can yield highly accurate results that are automated and reproducible.