Central European Institute of Technology – Masaryk University

Motor Expertise Combines Lower Task Engagement with Enhanced Error Sensitivity

Abstract Skilled motor behaviour relies on complex predictive control and error processing. Despite its indispensable position in our everyday lives, neurobiological mechanisms of motor skill acquisition remain poorly understood. The presented study evaluates the functional dynam...

Mastodon: the command center for large-scale lineage-tracing microscopy datasets

Understanding development in living organisms requires following the divisions, movements, and fates of cells. While advances in microscopy have enabled whole-embryo imaging at the cellular level, extracting and analyzing cell lineages from these massive datasets remains a signif...

Consensus-Based Definitions for Vocal Biomarkers: The International VOCAL Initiative.

Introduction: Voice-based health technologies are growing rapidly, but they lack standardized terminology, which hinders interdisciplinary collaboration, research quality, and clinical translation. The objective of this work was to develop universally accepted definitions in the...

Analysis of structural errors in the AlphaFold DB v4 and v6

3D protein structures predicted using machine-learning techniques have become routinely used in research. One of the major sources of the predicted structures is the AlphaFold DB, providing predictions for over 240 million proteins. For a proper interpretation of predicted protei...

Past and present phage therapy research and practice in the Czech Republic – contribution to phage therapy in Europe

Renewed interest in bacteriophage therapy, driven by the global rise of antimicrobial resistance, is accelerating efforts to establish its rational, evidence-based use in clinical practice. This review provides a comprehensive overview of the historical milestones, current status...

PAT: An Image Analysis Tool for Automated Scoring of Pollen in Alexander-Stained Anthers

Abstract Quantitative pollen viability analysis is a critical but labor-intensive step in plant reproductive biology. Existing deep-learning Segment Anything Models (SAM) fail to reliably segment viable pollen in Alexander-stained anthers. To address this, we fine-tuned an existi...