This research uses nematode worms and machine learning to quantify changes in neuron structure linked to neurodegenerative diseases. By replacing subjective visual analysis with objective computational methods, it identifies structural abnormalities and improves understanding of disease mechanisms, supporting future advances in diagnosis and treatment.

This research develops a low-cost water-monitoring system using nanofabricated diffraction surfaces and image analysis. As water flows over a “rainbow film,” distinct optical patterns reveal chemical or biological contaminants. The system has already detected dyes, algae, and particulates, offering a rapid, affordable tool for identifying pollution in water pipelines.