Targeting Raman spectral information and its application to faster Raman imaging

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K15195
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 30020:Optical engineering and photon science-related
• Research Institution: Kyoto Prefectural University of Medicine
• Principal Investigator: Mochizuki Kentaro 京都府立医科大学, 医学(系)研究科(研究院), 助教 (50868768)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: ラマン散乱顕微法の測定効率化 / 肝脂肪化の早期検出 / 細胞種の判別

Outline of Final Research Achievements

In order to improve the efficiency in Raman microscopy, which is useful for the assessment of biological specimens, the necessary information depeinding on the analysis target was investigated, and the output was aimed to be applied for the fast Raman microscopic imaging.
In the analysis for fatty liver models, it was shown that the Raman bands attributed to retinol and lipid helped the detection of the liver steatosis in an early stage. And in the analysis of a human thyroid cell lines, the possibility that the intensity contrast between Raman bands of reduced heme and lipid enables the discrimination of those thyroid cell types.
A part of the results was presented at domestic and international conferences and on an academic journal. Also, a Raman microscopic system enabling faster imaging by limiting the Raman spectral information to be detected was under development.

Free Research Field

光学

Academic Significance and Societal Importance of the Research Achievements

本研究は、肝脂肪化早期モデルを対象とした組織状態解析とヒト甲状腺細胞株を対象とした細胞分析において有効なスペクトル情報を選別することにより、ラマン散乱顕微法による生物試料解析において測定を効率化できる可能性を示した点に学術的意義がある。
また、その達成はラマン散乱顕微法を活用した医学生物学研究の促進に寄与するものと期待され、加えて、HE染色切片観察などの従来の病理学的診断手法では困難であった肝脂肪化の早期検出にラマン散乱顕微法が有用である可能性を示した点に社会的意義がある。