AI Photonics

Image Reconstruction

    In addition to traditional optical methods, AI algorithms are crucial in advancing visualization and imaging quality of biological systems. Physics-based AI can overcome physical limitations such as isotropic resolution, low-light imaging, and imaging in low-resource settings. This technology allows for the exploration of microscopic life with unparalleled clarity, detail, and quality, leading to new discoveries and innovative applications across various disciplines.

AI for Pathology

    Many complications during surgery stem from the inability to detect positive margins and during the procedure. This risk can be significantly lowered by integrating real-time and intra-operative virtual histopathology with a deep-learning-based classification algorithm. Recent advancements in microscopy and artificial intelligence (AI) offer exciting opportunities to revolutionize microscopy analysis and instrumentation. We employ generative AI to transform label-free imaging modality to hitopahtological staining, simplifying diagnostic procedure and saving time significantly.