Filippo Piccinini

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 Regression Plane, a tool for continuous phenotypic analysis using machine learning without requiring class labels.

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