Johannes Christian Paetzold

BaSiCPy: Scalable and Robust Shading Correction for Optical Microscopy Images

BaSiCPy improves illumination correction in microscopy images by addressing foreground correlations and enabling automated processing.

Reversible hypervascularization drives cognitive decline and blood-brain barrier damage during aging

The paper identifies a hypervascular, BBB-compromised state in aging mice linked to cognitive decline and shows pharmacological stabilization improves vascular and cognitive outcomes.

Leonardo: a toolset to correct sample-induced artifacts in light sheet microscopy images

Leonardo corrects sample-induced artifacts in light sheet microscopy images using two modules, validated on diverse biological samples.

Deep Learning and 3D Imaging Reveal Whole-Body Alterations in Obesity

This paper introduces MouseMapper, a deep learning tool combined with 3D imaging to analyze whole-body structural changes in obesity, revealing nerve and immune system alterations.

Virtual reality empowered deep learning analysis of brain activity

DELiVR uses VR-generated data to train deep learning models for quantifying c-Fos in cleared mouse brains, revealing new activation patterns in cancer-related brain activity.

Automated analysis of whole brain vasculature using machine learning

The paper develops a deep learning framework to analyze whole brain vasculature in cleared mouse brains, revealing new insights into vascular architecture and collateralization.