Guillaume Le Treut

This study compares five RNA velocity methods across three datasets to evaluate their performance in predicting cellular states.

The paper introduces a new image analysis pipeline for mother machine data and evaluates its performance against existing tools, highlighting parameter sensitivity and segmentation biases.

The paper evaluates five models of cell-cycle and cell-size control in bacteria, finding the Independent Double Adder model most consistent with experimental data.

The paper challenges the RDA model by showing it cannot compare biological models and is incompatible with the adder principle, supporting the IDA model instead.

The paper reanalyzes Witz et al.'s data and performs additional experiments, supporting the division-centric model of cell-size control in E. coli.

MM3 is a modular image analysis pipeline for mother machine experiments that converts raw images into cell feature data within a day.

This study identifies the mechanistic basis of cell-size homeostasis in bacteria, showing it results from threshold accumulation and balanced biosynthesis, and demonstrates how to reprogram this process.