Development of statistical methodology for imaging mass spectrometry

2014 Fiscal Year Final Research Report

• Project/Area Number: 24300110
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Statistical science
• Research Institution: Teikyo University (2014); Japanese Foundation for Cancer Research (2012-2013)
• Principal Investigator: MATSUURA Masaaki 帝京大学, 大学院公衆衛生学研究科, 教授 (40173794)
• Co-Investigator(Kenkyū-buntansha): EGUCHI Shinto 統計数理研究所, 数理推論研究系, 教授 (10168776) ; SETOU Mitsutoshi 浜松医科大学, 医学部, 教授 (20302664) ; USHIJIMA Masaru 公益財団法人がん研究会, ゲノムセンター, 研究員 (60328565) ; MIYATA Satoshi 東北大学, 医学系研究科, 准教授 (60360343) ; YAO Ikuko 浜松医科大学, メディカルフォトニクス研究センター, 准教授 (60399681) ; HOSHIKAWA Yutaka 公益財団法人がん研究会, がん研究所, 研究員 (80280626) ; WAKUI Masatoshi 慶應義塾大学, 医学部, 講師 (90240465)
• Co-Investigator(Renkei-kenkyūsha): KAJIHARA Shigeki 島津製作所, 基盤技術研究所, 主任研究員 (10395246)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 質量分析 / 統計 / 画像

Outline of Final Research Achievements

In imaging mass spectrometry, we can obtain lazar captured mass spectrometry data from cancer tissues or normal cells using a microscope. These data generate imaging data in which each spot has a spectrum with many peaks for small molecules. We have developed statistical algorithm and software which can detect important similar peaks including of a cancer site, for example.

Free Research Field

統計科学