John P. Efromson

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.

This paper develops a high-throughput imaging and analysis pipeline to quantify aggression and courtship behaviors in freely moving Drosophila, revealing genotype-specific behavioral variations.

The paper develops a machine learning pipeline to classify larval zebrafish behaviors using semi-supervised learning, showing high accuracy in detecting spontaneous and stimulus-evoked behaviors.

This paper develops a high-throughput method to count EGFP-expressing neutrophils in zebrafish larvae using a parallelized microscope and machine learning, validated against manual counts.

This paper describes a method to improve protein expression and purification in E. coli by inducing autolysis and DNA/RNA hydrolysis via phage lysozyme and endonuclease, achieving >90% protein release.

This paper describes an improved method for recombinant protein expression in E. coli using phosphate depletion to trigger autoinduction, achieving high protein titers across various scales.

The paper tests the robustness of PhoB-regulated promoters in E. coli across different media and identifies promoters with consistent expression for two-stage autoinduction.