Biophotonics Imaging Technology Lab (BIT)
Professor Xingde Li - Department of Biomedical Engineering, Johns Hopkins University
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Our research focuses on developing cutting-edge neurophotonics and translational biophotonics technologies, aiming to study brain functions, enable early disease detection, and provide real-time guidance to interventions. Follow the links in Research to learn more or contact us for further information.
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Latest News
06/23/2025:
A manuscript on the Effectiveness of Digital Dispersion Compensation in OCT by Fengquan has been accepted by Biomed Opt Express. Congratulations to Fengquan! This paper presents a model that predicts the maximum allowable mismatch length of glass materials—such as optical fibers—in an OCT system, within which high-quality OCT images can still be effectively recovered using digital dispersion compensation.
06/16/2025:
JHU Students News-Letter interviewed Yuehan on her work of 2P fiberscopy technology for transforming neural imaging studies! This news came out last year but we missed it on our website.
06/09/2025:
A manuscript on using a vision transformer (ViT) model with a dual-path neural network architecture for classifying OCT images of brain cancer has been accepted by Biomed Opt Express. The model also incorporates an adversarial discriminator to minimize patient-specific variability. Congratulations to all authors! This work represents a collaborative effort among Drs. Chellappa (AI), Nauen (neuropathology), Bettegowda (neurosurgery), and our group.

More news here.