Virtual reality empowered deep learning analysis of brain cells
Doris Kaltenecker, Rami Al-Maskari, Moritz Negwer, Luciano Hoeher, Kofler Florian, Shan Zhao, Mihail Todorov, Zhouyi Rong, Johannes Christian Paetzold, Benedikt Wiestler, Marie Piraud, Daniel Rueckert, Julia Geppert, Pauline Morigny, Maria Rohm, Bjoern H. Menze, Stephan Herzig, Mauricio Berriel Diaz, Ali Ertürk · FENS Forum 2024
Automatically detecting antibody labelled cells within three-dimensional datasets such as whole-brain image stacks generated with light-sheet fluorescence microscopy is a complex task. In this study, we introduce DELiVR, a virtual reality (VR) trained deep learning pipeline for identifying c-Fos+ cells, which serve as markers of neuronal activity, in cleared mouse brains. By employing VR annotation, we significantly accelerated training data generation, resulting in DELiVR surpassing current state-of-the-art methods for cell segmentation. Our pipeline, which encompasses cell detection, brain a
ePoster · Neuroscience