Vivo Imaging

In vivo imaging focuses on visualizing and analyzing biological structures and processes within living organisms, aiming to provide real-time, non-invasive insights. Current research emphasizes developing advanced image analysis techniques, including deep learning models (like Deep Image Prior and convolutional neural networks) and novel data acquisition methods (such as speckle structured light and micro-ultrasound), to improve image quality, accuracy, and the extraction of quantitative information. These advancements are significantly impacting various fields, from medical diagnosis (e.g., cancer detection, MS lesion characterization) and surgical navigation to fundamental biological research (e.g., nanoparticle tracking, placental analysis). The ultimate goal is to enhance the precision and efficiency of medical procedures and deepen our understanding of biological systems.