Assessment of skin inflammation using near-infrared Raman spectroscopy combined with artificial intelligence analysis in an animal model-Reference-Cited by-同舟云学术

Assessment of skin inflammation using near-infrared Raman spectroscopy combined with artificial intelligence analysis in an animal model

Published:2022 Issue:12 Volume:147 Page:2843-2850
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Kanemura Yohei¹²,Kanazawa Meiko¹³,Hashimoto Satoru⁴^ORCID,Hayashi Yuri¹³,Fujiwara Erina⁴,Suzuki Ayako⁴^ORCID,Ishii Takashige⁵,Goto Masakazu⁵,Nozaki Hiroshi⁵,Inoue Takanori⁴^ORCID,Takanari Hiroki¹^ORCID

Affiliation:

1. Department of Interdisciplinary Researches for Medicine and Photonics, Institute of Post-LED Photonics, Tokushima University, 3-18-15, Kuramoto, Tokushima 770-8503, Japan

2. Tokushima University, Faculty of Science and Technology, 2-1, Minami-Josanjima, Tokushima 770-8506, Japan

3. Tokushima University, Faculty of Medicine, 3-18-15 Kuramoto, Tokushima 770-8503, Japan

4. Division of Applied Chemistry, Faculty of Science and Technology, Oita University Graduate School of Engineering, 700, Dan-noharu, Oita 870-1124, Japan

5. Division of DX Promotion, OEC Co., Ltd., 17-57, Higashi-Kasuga, Oita 870-0037, Japan

Abstract

Near-infrared (NIR) Raman spectroscopy was applied to detect skin inflammation in an animal model. Artificial intelligence (AI) analysis improved prediction accuracy for skin inflammation.

Funder

Japan Society for the Promotion of Science

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/AN/D2AN00193D

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1. The Negative Absorption of Radiation

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