时 间：2026年3月11日上午10:00
地 点：理工楼18号楼-307学术报告厅
主 讲：Juergen W Czarske，德累斯顿工业大学生物医学计算激光系统中心主任
主 办：光电与信息工程学院，医学光电科学与技术教育部重点实验室，福建省光子技术重点实验室，福建省光学学会，信息光子学研究中心
专家简介
Juergen W Czarske (8 Fellowships: OPTICA, SPIE, IET, IOP, EOS, COS, Saxon Academy of Sciences, Scientific Society Laser Technique) is Full Professor and leads the BIOLAS center (Biomedical Computational Laser Systems) and Institute for Circuits and Systems of TU Dresden. He is Member of Fraunhofer Society, Excellence Cluster Physics of Life, Else Kröner-Fresenius Center for Digital Health, BrainLinks&BrainTools in Freiburg and visiting professor in Arizona (Wyant College), at USST, SIOM and CORE (Japan). Prof Czarske´s awards include the 2019 OPTICA Joseph-Fraunhofer-Award/Robert-M.-Burley-Prize in Optical Engineering, 2020 Laser Instrumentation Award of IEEE Photonics Society, 2022 SPIE Chandra S Vikram Award in Optical Metrology and 2024 SPIE Dennis Gabor Award in Diffractive Optics. Prof Czarske is editor of Light Science and Applications, Advanced Photonics, Advanced Imaging, Light Advanced Manufacturing, Photonics, JEOS:RP, etc.
He is Vice President of International Commission for Optics, ICO, and was the general chair of the world congress ICO-25 with 3 Nobel laureates and attendees from 55 countries. He was a nominator for the Nobel Prize in Physics.
讲座简介
Light has the potential to detect and prevent the development of diseases, improve diagnostics, or cure them early and gently. For centuries, microscopes were improved by using better-polished lenses for 2D imaging. Today, lensless microscopes enable a fundamentally new 3D imaging. Groundbreaking advances have been recognized with Nobel Prizes, for example, in 2014 for super-resolution microscopy, in 2022 for quantum imaging, and in 2024 for machine learning with artificial neural networks. We present lensless multicore fiber-based endo-microscopy, exploiting speckle pattern by physics-informed deep learning. The perspectives of Quantum Imaging with teleportation are covered too. The promising advancements of deep learning, digital holography, lensless microscopy and entangled photons for biomedicine will be highlighted.