Project Elucidate: Web-Based Single Cell Annotation Tool For Building Deep Segmentation Models on Stimulated Raman Histology

Presentation Time: 04:00 PM - 04:15 PM

Abstract Keywords: Imaging Informatics, Deep Learning, Machine Learning
Primary Track: Applications
Programmatic Theme: Translational Bioinformatics

Single-cell analysis of cancer histology offers crucial insights into the tumor microenvironment. In brain cancer research, an advanced imaging technique called Stimulated Raman Histology (SRH) allows for rapid digital imaging of brain tumor biopsies without requiring tissue staining. SRH microscopes combined with AI are currently being used for intraoperative tumor classification in neurosurgery. However, there is yet to be single-cell annotations for SRH. Project Elucidate proposes a collaborative, open-source web platform for building cell segmentation AI models in SRH.

Speaker(s):
Abhishek Bhattacharya, M.D.
NYU Langone

Author(s):
Abhishek Bhattacharya, M.D. - NYU Langone; Eric Landgraf, BS MS - University of Michigan Department of Neurosurgery; Cheng Jiang, B.S. M.S.E. - University of Michigan Department of Neurosurgery; Asadur Chowdhury, BS MS - University of Michigan Department of Neurosurgery; Todd Hollon, MD - University of Michigan Department of Neurosurgery;