3 papers
cs.MA2026
MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis
Hanyi Zhang, Maximilian Hoermann, Lion J. Gleiter +5
Organoids are three-dimensional tissue models whose morphology provides important insights into tumor development, disease progression, and drug testing. Extracting these morpholog…
cs.LG2026
3D Masked Autoencoders are Robust Learners of Volumetric and Multimodal Cellular Representations for Microscopy
Amirhossein Kardoost, Lion Gleiter, Tingying Peng +1
Self-supervised learning in fluorescence microscopy often relies on 2D projections, despite the inherently three-dimensional nature of cells. We present a systematic comparison of…
cs.CV2025
NOA: a versatile, extensible tool for AI-based organoid analysis
Mikhail Konov, Lion J. Gleiter, Khoa Co +2
AI tools can greatly enhance the analysis of organoid microscopy images, from detection and segmentation to feature extraction and classification. However, their limited accessibil…