Gregory J. Baker

This paper introduces a method that combines autoencoders with segmentation to improve single-cell analysis of multiplexed tissue images by capturing morphology and reducing signal spillover.

This paper introduces CyLinter, a quality control tool that removes imaging artefacts from high-plex spatial profiling data, improving single-cell analysis of archival tumor specimens.

The paper shows nuclear rupture is common in cancer, especially glioblastoma, and links it to lamin proteins and immune signaling.

The paper discusses challenges in digital image analysis of cancerous tissues and outlines solutions developed during a 2022 hackathon.

MCMICRO processes multiplexed tissue images into single-cell data, demonstrating its versatility across different tissues and imaging platforms.