  Imaging through optical multimode fibers (MMFs) has the potential to enable
hair-thin endoscopes that reduce the invasiveness of imaging deep inside
tissues and organs. Current approaches predominantly require active wavefront
shaping and fluorescent labeling, which limits their use to preclinical
applications and frustrates imaging speed. Here we present a computational
approach to reconstruct depth-gated confocal images using a raster-scanned,
focused input illumination. We demonstrate the compatibility of this approach
with quantitative phase, dark-field, and polarimetric imaging. Computational
imaging through MMF opens a new pathway for minimally invasive imaging in
medical diagnosis and biological investigations.
