Deep learning improves fibre optic imaging
01 Oct 2018 Belle Dumé
A new flexible, artifact-free and lensless fibre-based imager can reconstruct high-quality images thanks to a trained deep neural network. The device, which is the first of its kind, transmits the images through disordered fibres thanks to an effect called transverse Anderson localization and works even for objects that are located several millimetres away from the fibre input face without the need for any additional distal optics. It might find use in practical endoscopy and other imaging applications.
Fibre optical endoscopes (FOEs) are routinely employed in biomedical research and for diagnosing disease and in surgery. They can be used in situations where conventional microscopy does not work very well. FOEs can also be implanted in patients, so allowing their health to be monitored over the long term.






