Thomas G. Fai

This paper introduces a curvature-based machine learning method for automated segmentation of dendritic spines in 3D EM images, showing improved analysis of spine morphology in complex neural networks.

The paper investigates the mechanical properties of fission yeast spindles by analyzing their response to mechanical and genetic perturbations, revealing their behavior as a rigid beam and identifying key proteins involved in elongation and structural integrity.

The paper quantifies the organization of the synaptic periactive zone (PAZ) and identifies relationships between endocytic proteins and active zone release properties in Drosophila synapses.

The paper develops a model of flagellar length control in Chlamydomonas reinhardtii, showing that a limiting pool of IFT proteins leads to an inverse growth-rate-length relationship and identifies coupling mechanisms that enable simultaneous length control.