无传感器自适应光学的深度学习方法

Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN) Pub Date : 1900-01-01 DOI:10.1364/boda.2023.dtu3a.1

Guozheng Xu, Isabelle Garnreiter, Thomas J. Smart, Michael G. Chambers, Eduard Durech, Ringo Ng, Jennifer Sun, M. Sarunic

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引用次数: 0

摘要

我们介绍了我们在图像引导(无波前传感器)自适应光学方面的进展，使用深度学习方法优化图像质量，使用高数值孔径OCT和共聚焦显微镜与定制开发的仪器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Deep Learning Methods for Sensorless Adaptive Optics

We present our progress on image-guided (wavefront sensor-less) adaptive optics using Deep Learning Methods to optimize the image quality using high numerical aperture OCT and confocal microscopy with a custom developed instrument.

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来源期刊

Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)

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