Label-free visualization of acetaminophen-induced liver injury by high-speed stimulated Raman scattering spectral microscopy and multivariate image analysis

We recently established a high‐speed, label‐free, spectral imaging method based on stimulated Raman scattering (SRS). This method enables examination of cellular features within relatively short periods, thus enabling new imaging applications in pathology. Previously, we reported on label‐free visua...

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Veröffentlicht in:Pathology international 2014-10, Vol.64 (10), p.518-526
Hauptverfasser: Satoh, Shuya, Otsuka, Yoichi, Ozeki, Yasuyuki, Itoh, Kazuyoshi, Hashiguchi, Akinori, Yamazaki, Ken, Hashimoto, Hiroyuki, Sakamoto, Michiie
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container_end_page 526
container_issue 10
container_start_page 518
container_title Pathology international
container_volume 64
creator Satoh, Shuya
Otsuka, Yoichi
Ozeki, Yasuyuki
Itoh, Kazuyoshi
Hashiguchi, Akinori
Yamazaki, Ken
Hashimoto, Hiroyuki
Sakamoto, Michiie
description We recently established a high‐speed, label‐free, spectral imaging method based on stimulated Raman scattering (SRS). This method enables examination of cellular features within relatively short periods, thus enabling new imaging applications in pathology. Previously, we reported on label‐free visualization of mouse tissue using SRS spectral microscopy combined with multivariate image analysis, but the feasibility of applying this approach to diseased tissues with diverse morphology and irregular chemical species has not been examined. We, therefore, assessed acetaminophen‐induced liver injury to evaluate the potential use of Raman spectral microscopy for visualizing histopathologic specimens. Acetaminophen‐overdosed mouse liver was prepared and the pathologic changes including centrilobular necrosis were confirmed. Multi‐colored images were reconstructed through principal component analysis (PCA) of a multi‐band SRS dataset, which provided rich information compared with a monochrome single‐band SRS dataset. A wide view of the multi‐colored principal component (PC) images showed the distribution of cellular constituents, which was similar to that observed by fat staining. In addition, different types of cells in liver parenchyma were also demonstrated. In conclusion, the combination of SRS spectral microscopy and PCA has the potential to reveal both the morphological and chemical features of specimens and therefore has potential utility in diagnostic pathology.
doi_str_mv 10.1111/pin.12206
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This method enables examination of cellular features within relatively short periods, thus enabling new imaging applications in pathology. Previously, we reported on label‐free visualization of mouse tissue using SRS spectral microscopy combined with multivariate image analysis, but the feasibility of applying this approach to diseased tissues with diverse morphology and irregular chemical species has not been examined. We, therefore, assessed acetaminophen‐induced liver injury to evaluate the potential use of Raman spectral microscopy for visualizing histopathologic specimens. Acetaminophen‐overdosed mouse liver was prepared and the pathologic changes including centrilobular necrosis were confirmed. Multi‐colored images were reconstructed through principal component analysis (PCA) of a multi‐band SRS dataset, which provided rich information compared with a monochrome single‐band SRS dataset. A wide view of the multi‐colored principal component (PC) images showed the distribution of cellular constituents, which was similar to that observed by fat staining. In addition, different types of cells in liver parenchyma were also demonstrated. 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A wide view of the multi‐colored principal component (PC) images showed the distribution of cellular constituents, which was similar to that observed by fat staining. In addition, different types of cells in liver parenchyma were also demonstrated. 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subjects Acetaminophen - toxicity
Analgesics, Non-Narcotic - toxicity
Animals
Chemical and Drug Induced Liver Injury - pathology
diagnostic imaging
Disease Models, Animal
drug-induced liver injury
Image Processing, Computer-Assisted - methods
Male
Mice
Mice, Inbred C57BL
Microscopy - methods
Principal Component Analysis
Raman scattering
spectrum analysis
Spectrum Analysis, Raman - methods
title Label-free visualization of acetaminophen-induced liver injury by high-speed stimulated Raman scattering spectral microscopy and multivariate image analysis
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