Single-shot 3D incoherent imaging with diffuser endoscopy
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
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.
Details
Original language | English |
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Journal | Light: Advanced Manufacturing |
Volume | 5 |
Issue number | 1 |
Publication status | Published - 2024 |
Peer-reviewed | Yes |
Keywords
ASJC Scopus subject areas
Keywords
- Coherent Fiber Bundle, Deep Learning, Diffuser, Endoscopy, Fiber Optics, Fluorescence Imaging, Multicore Fiber, Neural Networks, Speckle Patterns