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Conferences > CLEO_SI > 2022 > STu5P > STu5P.4

Imaging through Disordered Optical Fiber System Using Unsupervised Learning

Xiaowen Hu, Jian Zhao, Jose Enrique Antonio-Lopez, Rodrigo Amezcua Correa, and Axel Schülzgen

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Abstract

Because of the excellent light guidance provided by transverse Anderson localization, unsupervised learning is sufficient for high-fidelity cell imaging through disordered fibers. A multi-step image recovery process, including standardization and generative adversarial networks, is presented.

© 2022 The Author(s)

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