Marc Tramier

The paper introduces a semi-supervised GAN for cell cycle classification using limited annotated data and unlabelled microscopy images, achieving high accuracy on the Mitocheck dataset.

This paper develops RalA-specific intrabodies that inhibit mitochondrial fission and extracellular vesicle secretion, reducing metastasis in a TNBC mouse model.

The Roboscope autonomously captures rare biological events using deep learning and sequence interruption, demonstrating efficiency with minimal training data.

This study identifies CELF1 and ELAVL1 as cooperative regulators of alternative splicing, showing additive effects and a role in cancer prognosis.

The paper engineers a fluorescent chemogenetic reporter with tunable color for live-cell imaging, enabling advanced spectral control and compatibility with advanced imaging techniques.

The paper develops a fast image classification method for biological microscopy by selecting discriminant features and using machine learning to improve speed and accuracy.

The paper investigates dynein dynamics during C. elegans zygote division, finding that dynein accumulates at microtubule plus-ends and cortex, with posterior enrichment contributing to force imbalance and polarity.