Thibault Lagache

Characterizing particle dynamics in live imaging through stochastic physical models and machine learning

This paper develops a machine learning method to classify subdiffusive particle dynamics in live imaging, showing it can distinguish different motion behaviors and reveal how receptor dynamics relate to HIV-1 activity.

Unraveling Microglial Spatial Organization in the Developing Human Brain with DeepCellMap, a Deep Learning Approach Coupled to Spatial Statistics

The paper introduces DeepCellMap, a deep learning tool for analyzing spatial cellular organization in developing brains, revealing microglial phenotypes and spatial clustering patterns.

Automatic monitoring of whole-body neural activity in behaving Hydra

The paper develops an open-source pipeline to automatically track and extract calcium signals from individual neurons in Hydra, enabling large-scale analysis of neural activity.

EMC2: A versatile algorithm for robust tracking of calcium dynamics from individual neurons in behaving animals

EMC2 tracks calcium dynamics in neurons of behaving animals, showing daily turnover in mouse visual cortex and identifying three neuron ensembles in Hydra.

Tracking Activity In A Deformable Nervous System With Motion Correction And Point-Set Registration

The paper develops a method to track neuronal activity in deformable organisms by correcting motion and aligning neurons using fiducials and point-set registration.