Ákos Diósdi

This paper introduces a micromanipulation platform to extract viable cell clusters from hydrogel-embedded 3D spheroids without disrupting the parent structure.

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.

The paper introduces a semi-automatic annotation tool for 2D and 3D image labelling to reduce expert effort in creating object-based labels.

AnnotatorJ is an ImageJ plugin that combines deep learning and manual annotation to improve cell segmentation and annotation efficiency.

3D-Cell-Annotator provides a tool for automated 3D cell segmentation in microscopy images using active surfaces and shape descriptors, achieving expert-level precision.