István Grexa

Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis

The paper introduces a subphase-labeled mitotic dataset to improve mitosis detection and subtyping, enhancing domain generalization and enabling biological insights into mitotic subphases.

A Morpho-Proteomic Atlas of Mitosis at Sub-Minute Resolution

This study creates a high-resolution morpho-proteomic atlas of mitosis by decomposing it into 40 subsections and quantifying 4,350 proteins, revealing dynamic changes and links to cancer mutations.

HCS-3DX, a next-generation AI-driven automated 3D-oid high-content screening system

HCS-3DX is a new AI-driven system for 3D-oid high-content screening that improves resolution and single-cell analysis in 3D tumor models.

A deep learning framework for nucleus segmentation using image style transfer

The paper introduces a deep learning framework for nucleus segmentation that uses image style transfer to adapt to new data without expert annotations, outperforming existing methods on diverse microscopy images.