Ingrid Henneke, Christina Pilz, Jochen Wilhelm, Ioannis Alexopoulos, Aysan Ezaddoustdar, Regina Mukhametshina, Norbert Weissmann, Hossein Ardeschir Ghofrani, Friedrich Grimminger, Werner Seeger, Ralph T Schermuly, Malgorzata Wygrecka, Baktybek Kojonazarov
Bleomycin (BLM)-induced lung injury in mice is a valuable model for investigating the molecular mechanisms that drive inflammation and fibrosis and for evaluating potential therapeutic approaches to treat the disease. Given high variability in the BLM model, it is critical to accurately phenotype the animals in the course of an experiment. In the current study, we aimed to demonstrate the utility of microscopic computed tomography (µCT) imaging combined with an artificial intelligence (AI) convolutional neural network (CNN)-powered lung segmentation for rapid phenotyping of BLM mice...
April 22, 2024: American Journal of Physiology. Cell Physiology