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Confocal 3D reflectance imaging through multimode fiber without wavefront shaping.

Szu-Yu Lee1,2, Vicente J Parot1,3, Brett E Bouma1,2,4

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Researchers developed a computational method for clear imaging through thin optical multimode fibers (MMF). This technique avoids complex wavefront control and fluorescent markers, paving the way for less invasive medical endoscopes.

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Area of Science:

  • Biomedical Optics
  • Computational Imaging
  • Fiber Optics

Background:

  • Minimally invasive imaging requires advanced endoscopic tools.
  • Optical multimode fibers (MMF) offer potential for hair-thin endoscopes.
  • Existing MMF imaging methods often rely on active wavefront shaping or fluorescent labeling.

Purpose of the Study:

  • To present a computational imaging approach for MMF.
  • To eliminate the need for active wavefront control and exogenous fluorophores.
  • To enable depth-gated confocal imaging through MMF.

Main Methods:

  • Utilized a raster-scanned, focused input illumination at the fiber's proximal end.
  • Employed computational reconstruction algorithms for image retrieval.
  • Demonstrated compatibility with various imaging modalities.

Main Results:

  • Successfully reconstructed depth-gated confocal images through MMF.
  • Showcased the approach's compatibility with quantitative phase, dark-field, and polarimetric imaging.
  • Validated a computational method that bypasses active wavefront control.

Conclusions:

  • Computational imaging through MMF provides a new avenue for minimally invasive procedures.
  • This method simplifies MMF imaging, removing the need for complex active controls.
  • Opens possibilities for advanced medical diagnosis and biological studies using compact endoscopes.