Jean‐Christophe Olivo‐Marín

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.

This paper introduces enhancements to deepImageJ, a Fiji/ImageJ plugin, by integrating the Java Deep Learning Library (JDLL) to support multiple deep learning frameworks, enabling complex bioimage analysis tasks.

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.

DypFISH quantitatively investigates spatial and temporal subcellular localization of RNA and protein using micropatterning and fluorescence microscopy, revealing reproducible patterns and dynamics.