High-throughput image alignment for connectomics using frugal snap judgments: poster

Abstract

Accurate and computationally efficient image alignment is a vital step in scientific efforts to understand the structure of the brain through electron microscopy images of neurological tissue. Connectomics is an emerging area of neurobiology that uses cutting edge machine learning and image processing algorithms to extract brain connectivity graphs from electron microscopy images.