Célia Martin

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 reviews current smart microscopy implementations and proposes a framework for interoperability to improve collaboration and standardization in the field.

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