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作 者:Julian Lich Tom Glosemeyer Jürgen Czarske Robert Kuschmierz
机构地区:[1]Laboratory of Measurement and Sensor System Technique,TU Dresden,Germany [2]Competence Center for Biomedical Computational Laser Systems(BIOLAS),TU Dresden,Germany [3]Else Kroner Fresenius Center for Digital Health(EKFZ),TU Dresden,Germany [4]Cluster of Excellence Physics of Life,TU Dresden,Germany
出 处:《Light(Advanced Manufacturing)》2024年第2期64-74,共11页光(先进制造)(英文)
基 金:supported by the German Research Foundation(DFG)under grant(CZ 55/48-1).
摘 要:Minimally invasive endoscopy offers a high potential for biomedical imaging applications.However,conventional fiberoptic endoscopes require lens systems which are not suitable for real-time 3D imaging.Instead,a diffuser is utilized for passively encoding incoherent 3D objects into 2D speckle patterns.Neural networks are employed for fast computational image reconstruction beyond the optical memory effect.In this paper,we demonstrate single-shot 3D incoherent fiber imaging with keyhole access at video rate.Applying the diffuser fiber endoscope for fluorescence imaging is promising for in vivo deep brain diagnostics with cellular resolution.
关 键 词:ENDOSCOPY DIFFUSER Deep learning Coherent fiber bundle Multicore fiber Neural networks Fiber optics Speckle patterns Fluorescence imaging
分 类 号:R318[医药卫生—生物医学工程]
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