22 April 2024 | Doris Kaltenecker, Rami Al-Maskari, Moritz Negwer, Luciano Hoher, Florian Kofler, Shan Zhao, Mihail Todorov, Zhouyi Rong, Johannes Christian Paetzold, Benedikt Wiestler, Marie Piraud, Daniel Rueckert, Julia Geppert, Pauline Morigny, Maria Rohm, Björn H. Menze, Stephan Herzig, Mauricio Berriel Diaz, Ali Ertürk
DELiVR is a virtual reality (VR)-trained deep-learning pipeline designed to detect c-Fos+ cells, markers of neuronal activity, in cleared mouse brains. The pipeline leverages VR annotation to generate high-quality reference data, significantly accelerating training data generation and improving segmentation accuracy compared to traditional 2D slice-based methods. DELiVR is packaged in a user-friendly Docker container and a Fiji plugin, making it accessible to biologists without advanced coding skills. The pipeline includes a comprehensive toolkit for data visualization and can be customized for other cell types. DELiVR was applied to investigate cancer-related brain activity, revealing distinct activation patterns in weight-stable cancer compared to cachectic cancer, particularly in areas related to sensory processing and foraging. Overall, DELiVR is a robust tool for analyzing whole-brain imaging data in health and disease, offering a seamless and efficient solution for cell detection and registration to the Allen Brain Atlas.DELiVR is a virtual reality (VR)-trained deep-learning pipeline designed to detect c-Fos+ cells, markers of neuronal activity, in cleared mouse brains. The pipeline leverages VR annotation to generate high-quality reference data, significantly accelerating training data generation and improving segmentation accuracy compared to traditional 2D slice-based methods. DELiVR is packaged in a user-friendly Docker container and a Fiji plugin, making it accessible to biologists without advanced coding skills. The pipeline includes a comprehensive toolkit for data visualization and can be customized for other cell types. DELiVR was applied to investigate cancer-related brain activity, revealing distinct activation patterns in weight-stable cancer compared to cachectic cancer, particularly in areas related to sensory processing and foraging. Overall, DELiVR is a robust tool for analyzing whole-brain imaging data in health and disease, offering a seamless and efficient solution for cell detection and registration to the Allen Brain Atlas.