Single-shot 3D incoherent imaging with diffuser endoscopy

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.

Keywords

• endoscopy
• diffuser
• deep learning
• coherent fiber bundle
• multicore fiber
• neural networks
• fiber optics
• speckle patterns
• fluorescence imaging