Christian Pylatiuk

InsectMorphoAI automates insect length, volume, and biomass estimation from 2D images using two methods, achieving high accuracy and enabling efficient ecological research.

Entomoscope 2.0 and ENIMAS 2.0 provide an open-source, AI-integrated platform for rapid, affordable insect digitization, achieving faster processing than commercial systems.

This paper uses deep learning to automate specimen triage by identifying sex, orientation, and anatomical regions from robotic imaging of Phoridae specimens.

The paper develops a behavioral assay and uses a Hidden Markov Model to analyze bold-shy behaviors in medaka fish, identifying direct and social genetic effects on behavior.

The paper develops an automated high-throughput method for measuring heart rate in medaka and zebrafish embryos without anesthesia or fluorescent reporters.