Supervisor: Morten Gram Pedersen
Creation Date: 06/06/2025 09:09
The projects will develop machine learning methods for classification of exocytosis of insulin granules from live-cell TIRFM recordings of beta-cells expressing fluorescently tagged granule proteins.
Dataset type: Already acquired data
Dataset description: TIRFM movies of insulin granules in beta-cells
List of Methods: Image analysis, machine learning classification
Machine Learning for Bioengineering