Daniel Sage

SMLMFlow enhances structural resolution in single molecule localization microscopy by combining graph neural networks and hierarchical transformers with flow matching.

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 BioImage Model Zoo provides a community standard, infrastructure, and open repository for sharing, testing, and deploying pre-trained deep learning microscopy models across multiple bioimage analysis tools.

The paper introduces a deep learning tool to classify xenograft cells in histological images by analyzing contextual features, achieving up to 96% accuracy in distinguishing human and murine cells.