Mihail Ivilinov Todorov

Apr 22, 2024 | nature.com | Mihail Ivilinov Todorov |Benedikt Wiestler |Marie Piraud |Daniel Rueckert |Maria Rohm |Stephan Herzig | +1 more

AbstractAutomated detection of specific cells in three-dimensional datasets such as whole-brain light-sheet image stacks is challenging. Here, we present DELiVR, a virtual reality-trained deep-learning pipeline for detecting c-Fos+ cells as markers for neuronal activity in cleared mouse brains. Virtual reality annotation substantially accelerated training data generation, enabling DELiVR to outperform state-of-the-art cell-segmenting approaches.