Using a newly developed microscopy method, researchers from Cambridge and Freiburg have been able to see for the first time how protein clusters form in living cells.

Jan Velecký - explains what protein engineering is about, why it is important to study protein solubility, and how machine learning can be crucial for human knowledge.

The growing influence of AI brings with it huge energy demands, which in turn bring large-scale climate challenges. Ondřej Wojewoda from CEITEC BUT brings a revolutionary solution in his PhD thesis.

This study presents the evaporated volume analysis (EVA) method for accurately estimating nanoparticle concentration using optical microscopy and AI-based counting.

Roman and Anton Bushuiev joined experts from 14 institutes in MassSpecGym, a project to benchmark AI methods for discovering natural molecules from MS, aiding drug development, ecology, and space research.

Research Data Day 2025 & EOSC Event in Brno united 200+ experts to discuss AI-ready data, FAIR practices, and the future of European research infrastructures and open science.

Prof. David Hanigan explains why PFAS removal isn’t enough, how online FTIR reveals gas-phase products, and where EPA 1633 vs. 533/537 and OTM-45/50 fit in real-world PFAS analysis.

Researchers from CEITEC BUT used high-resolution micro-CT to create 3D models of mouse embryos, revealing how Dlx5/6 genes shape the development of the vocal tract and auditory system in mammals.