Identification of blood species based on surface‐enhanced Raman scattering spectroscopy and convolutional neural network-Reference-Cited by-同舟云学术

Identification of blood species based on surface‐enhanced Raman scattering spectroscopy and convolutional neural network

Published:2022-10-04 Issue:2 Volume:16 Page:
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:Journal of Biophotonics

Author:

Chen Jiansheng¹²^ORCID,Wang Peng²,Tian Yubing²,Zhang Rui¹²,Sun Jiaojiao²,Zhang Zhiqiang²,Gao Jing¹²

Affiliation:

1. School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine University of Science and Technology of China Hefei China

2. Jiangsu Key Laboratory of Medical Optics Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences Suzhou Jiangsu China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Six Talent Climax Foundation of Jiangsu

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.202200254

Reference41 articles.

1. RNA/DNA co-analysis on aged bloodstains from adhesive tapes used for gunshot residue collection from hands

2. Species identification of blood and bloodstains by high-performance liquid chromatography

3. Differentiation of five body fluids from forensic samples by expression analysis of four microRNAs using quantitative PCR

4. Body fluid identification by mass spectrometry

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