Raman spectroscopic histology using machine learning for nonalcoholic fatty liver disease

被引：18

作者：

Helal, Khalifa Mohammad ^{[1
,2
]}

Taylor, James Nicholas ^{[3
]}

Cahyadi, Harsono ^{[4
]}

Okajima, Akira ^{[5
]}

Tabata, Koji ^{[3
]}

Itoh, Yoshito ^{[5
]}

Tanaka, Hideo ^{[4
]}

Fujita, Katsumasa ^{[6
,7
,8
]}

Harada, Yoshinori ^{[4
]}

Komatsuzaki, Tamiki ^{[1
,3
,9
,10
]}

机构：

[1] Hokkaido Univ, Grad Sch Life Sci, Sapporo, Hokkaido, Japan

[2] Comilla Univ, Dept Math, Cumilla, Bangladesh

[3] Hokkaido Univ, Inst Elect Sci, Res Ctr Math Social Creat, Sapporo, Hokkaido, Japan

[4] Kyoto Prefectural Univ Med, Dept Pathol & Cell Regulat, Kyoto, Japan

[5] Kyoto Prefectural Univ Med, Dept Gastroenterol & Hepatol, Kyoto, Japan

[6] Osaka Univ, Dept Appl Phys, Suita, Osaka, Japan

[7] Osaka Univ, Inst Open & Transdisciplinary Res Initiat, Transdimens Life Imaging Div, Suita, Osaka, Japan

[8] Osaka Univ, Natl Inst Adv Ind Sci & Technol, Adv Photon & Biosensing Open Innovat Lab, Suita, Osaka, Japan

[9] Hokkaido Univ, Inst Chem React Design & Discovery, Sapporo, Hokkaido, Japan

[10] Univ Bourgogne, Lab Interdisciplinaire Carnot Bourgogne, Dijon, France

来源：

FEBS LETTERS | 2019年 / 593卷 / 18期

关键词：

machine learning; nonalcoholic fatty liver disease; Raman hyperspectral imaging; rate-distortion theory; superpixel segmentation; STEATOHEPATITIS; CLASSIFICATION; VARIABILITY; VALIDATION;

D O I：

10.1002/1873-3468.13520

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Histopathology requires the expertise of specialists to diagnose morphological features of cells and tissues. Raman imaging can provide additional biochemical information to benefit histological disease diagnosis. Using a dietary model of nonalcoholic fatty liver disease in rats, we combine Raman imaging with machine learning and information theory to evaluate cellular-level information in liver tissue samples. After increasing signal-to-noise ratio in the Raman images through superpixel segmentation, we extract biochemically distinct regions within liver tissues, allowing for quantification of characteristic biochemical components such as vitamin A and lipids. Armed with microscopic information about the biochemical composition of the liver tissues, we group tissues having similar composition, providing a descriptor enabling inference of tissue states, contributing valuable information to histological inspection.

引用

页码：2535 / 2544

页数：10

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