期刊
OPTICS EXPRESS
卷 28, 期 10, 页码 15459-15471出版社
Optica Publishing Group
DOI: 10.1364/OE.392794
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类别
资金
- Center of Advanced European Studies and Research
- Max-Planck-Gesellschaft
Light scattering and aberrations limit optical microscopy in biological tissue, which motivates the development of adaptive optics techniques. Here, we develop a method for wavefront correction in adaptive optics with reflected light and deep neural networks compatible with an epi-detection configuration. Large datasets of sample aberrations which consist of excitation and detection path aberrations as well as the corresponding reflected focus images are generated. These datasets are used for training deep neural networks. After training, these networks can disentangle and independently correct excitation and detection aberrations based on reflected light images recorded from scattering samples. A similar deep learning approach is also demonstrated with scattering guide stars. The predicted aberration corrections are validated using two photon imaging. (c) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
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