Robust real-time imaging through flexible multimode fibres
| When |
Nov 21, 2022
from 11:00 to 12:00 |
|---|---|
| Where | Salle des Thèses |
| Attendees |
Steve McLaughlin |
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Conventional endoscopes comprise a bundle of optical fibers, one fiber for each pixel in the image. In principle, this can be reduced to a single multimode optical fiber (MMF), the width of a human hair, with one fiber spatial-mode per image pixel. However, images transmitted through a MMF emerge as unrecognisable speckle patterns due to dispersion and coupling between the spatial modes of the fiber. Furthermore, the speckle patterns change as the fiber undergoes bending, making the use of MMFs in flexible imaging applications even more complicated. We address this problem using a training set of objects and use a variational autoencoder (VAE) to reconstruct and classify images from the speckles and show that these images can still be recovered when bend of the fiber is changed to one that was not part of the training set. Our approach does not require access or feedback signal from the distal end of the fiber during imaging.