Kyle W. Karhohs

The paper identifies a mitochondrial localization phenotype in psychosis patients and uses a cell-based assay to screen for compounds and genes affecting this phenotype.

The paper develops an automated high-content synaptic phenotyping platform in human neurons and astrocytes, identifying BET inhibitors as key regulators of synapse assembly.

The paper compares morphology and gene expression data to determine their complementary roles in mapping cell states across drug perturbations.

The paper introduces a cloud-based platform for analyzing calcium activity in motor neurons to identify compounds that reverse disease phenotypes in amyotrophic lateral sclerosis.

This study evaluates deep learning strategies for nucleus segmentation in fluorescence images, showing U-Net outperforms classical methods and reduces biologically relevant errors.