Deep Learning for Biospectroscopy and Biospectral Imaging: State-of-the-Art and Perspectives-Reference-Cited by-同舟云学术

Deep Learning for Biospectroscopy and Biospectral Imaging: State-of-the-Art and Perspectives

Published:2021-02-18 Issue:8 Volume:93 Page:3653-3665
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

He Hao¹,Yan Sen²,Lyu Danya²,Xu Mengxi²,Ye Ruiqian¹,Zheng Peng¹,Lu Xinyu²,Wang Lei¹^ORCID,Ren Bin²^ORCID

Affiliation:

1. School of Aerospace Engineering, Xiamen University, Xiamen, 361000, China

2. 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

Funder

Ministry of Science and Technology of the People's Republic of China

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.0c04671

Reference153 articles.

1. Vibrational spectroscopic imaging of living systems: An emerging platform for biology and medicine

2. The many facets of Raman spectroscopy for biomedical analysis

3. Classification of different animal fibers by near infrared spectroscopy and chemometric models

4. Raman and Infrared Spectroscopy Distinguishing Replicative Senescent from Proliferating Primary Human Fibroblast Cells by Detecting Spectral Differences Mainly Due to Biomolecular Alterations

5. In vivo three-photon microscopy of subcortical structures within an intact mouse brain

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