Petter Ranefall

Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy

The paper uses deep learning to classify bacteria species from phase-contrast microscopy images without staining or fixation, achieving over 98% accuracy.

SynQuant: An Automatic Tool to Quantify Synapses from Microscopy Images

SynQuant quantifies synapses from microscopy images by addressing antibody specificity, brightness heterogeneity, and noise, showing improved performance over existing tools in disease models.

Zebrafish larvae as a model system for systematic characterization of drugs and genes in dyslipidemia and atherosclerosis

The paper develops a zebrafish pipeline to study dyslipidemia and atherosclerosis, identifying potential causal genes and showing drug effects.