News | 22/04/2024 | Press Release

Advanced Brain Science Without Coding Expertise

Researchers at Helmholtz Munich and the LMU University Hospital Munich introduce DELiVR, offering a new AI-based approach to the complex task of brain cell mapping. The deep learning tool democratizes advanced neuroscience by eliminating the need for coding expertise. DELiVR empowers biologists to investigate disease-related spatial cell dynamics efficiently, fostering the development of precision therapies for enhanced patient care.

Democratizing 3D Brain Analysis

Many diseases are linked with changes in the expression of certain proteins in the brain. To study those changes, scientists examine how they change during disease progression in model organisms. Imaging entire mouse brains generates vast data sets, necessitating accurate quantification methods for its meaningful interpretation. However, identifying labeled cells within large 3D image data is challenging. While artificial intelligence (AI) holds promise for data analysis, it typically requires extensive data annotation and advanced coding skills, restricting its use to specialized labs. The research team therefore aimed to overcome these barriers, democratizing 3D analysis for broader scientific access.

“In essence, DELiVR offers a seamless solution for identifying and analyzing cells throughout the entire brain, providing invaluable insights into their roles and behaviors in both health and disease – all without requiring coding expertise from scientists. DELiVR represents a step towards developing new therapeutic interventions that could ultimately improve the quality of life for individuals affected by debilitating conditions.”

Prof. Ali Ertürk, who led the development of the tool at Helmholtz Munich