Joshua F. Lerner

This study evaluates segmentation models on live microscopy and spatial-omics data, finding that no single model consistently outperforms others across all datasets.

This paper introduces a high-throughput 24-camera array microscope for automated 3D behavioral analysis of zebrafish larvae, enabling accurate tracking and morphological dynamics at high frame rates.

The paper introduces a multi-camera array scanner (MCAS) that significantly reduces imaging time for organoids, enabling faster and more consistent analysis of growth and responses to treatments.