Adrian Bradu

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About

Adrian Bradu is a leading researcher in biomedical optics and robotic-assisted imaging, with a focus on advancing minimally invasive surgical technologies. His work bridges the gap between macroscopic surgical visualization and microscopic tissue characterization, particularly through the integration of optical coherence tomography (OCT) and fluorescence endomicroscopy (FEM). Bradu’s major contributions include the development of a compact, robotic-scanner-based instrument capable of delivering en-face OCT alongside FEM images, enabling real-time, high-resolution tissue assessment during surgery. His 2019 paper on this system has garnered 31 citations, reflecting its significance in the field. Additionally, Bradu pioneered an automated multiscale imaging framework for the da Vinci surgical robot, generating large-area mosaics of probe-based confocal laser endomicroscopy (pCLE) and OCT images. This work, cited 22 times, introduced a closed-loop control system where pCLE images guide scanning, ensuring precise and comprehensive tissue sampling. By fusing macro- and micro-scale imaging data, Bradu’s innovations enhance diagnostic accuracy and surgical precision, positioning him as a key figure in the evolution of intelligent, image-guided robotic surgery.