Deep Learning for Biospectroscopy and Biospectral Imaging: State-of-the-Art and Perspectives
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- Hao He
- School of Aerospace Engineering, Xiamen University, Xiamen, 361000, China
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- Sen Yan
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
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- Danya Lyu
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
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- Mengxi Xu
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
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- Ruiqian Ye
- School of Aerospace Engineering, Xiamen University, Xiamen, 361000, China
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- Peng Zheng
- School of Aerospace Engineering, Xiamen University, Xiamen, 361000, China
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- Xinyu Lu
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
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- Lei Wang
- School of Aerospace Engineering, Xiamen University, Xiamen, 361000, China
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- Bin Ren
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
収録刊行物
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- Analytical Chemistry
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Analytical Chemistry 93 (8), 3653-3665, 2021-02-18
American Chemical Society (ACS)