Joakim Stenhammar

This paper introduces a lightweight segmentation method for multi-state Brownian trajectories using Gaussian filtering and mixture modeling, showing high accuracy and lower computational load compared to deep learning or HMM approaches.

The paper models the coupling between membrane bending and stretching in lipid vesicles, showing that thinning reduces bending energy and explains the lower limit of vesicle sizes.