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Deep learning in optical microscopy and image reconstruction (Conference Presentation)
Author(s): Aydogan Ozcan
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Paper Abstract

We discuss recently emerging applications of the state-of-art deep learning methods on optical microscopy and microscopic image reconstruction, which enable new transformations among different modes and modalities of microscopic imaging, driven entirely by image data. We believe that deep learning will fundamentally change both the hardware and image reconstruction methods used in optical microscopy in a holistic manner.

Paper Details

Date Published: 13 March 2019
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Proc. SPIE 10887, Quantitative Phase Imaging V, 108870R (13 March 2019); doi: 10.1117/12.2509129
Show Author Affiliations
Aydogan Ozcan, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 10887:
Quantitative Phase Imaging V
Gabriel Popescu; YongKeun Park, Editor(s)

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