NIH R01 · 2025
Smart Laser Capturing Microscope for Genome Wide Single Cell Spatial Transcriptomics
PROJECT SUMMARY We introduce an innovative AI-Assisted Laser Capture Microdissection (AI-LCM) approach for Spatial Transcriptomics, designed to overcome the limitations of existing spatial biology methods. Current techniques like MERFISH, Visium, and traditional LCM have distinct strengths, but they fall short in providing both single- cell resolution and genome-wide coverage efficiently. Our AI-LCM technique combines microscopy, Next Generation Sequencing (NGS), and LCM to enable high-throughput, comprehensive spatial transcriptomics analysis. Our method utilizes DNA nanoballs tagged with unique molecular identifiers (UMIs), readable via both microscopy and NGS. This dual-readout allows…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.