Shimadzu Corporation

Keio University

Teikyo University

Masaaki Matsuura

Shigeki Kajihara

Kiyoshi Ogawa

Mitsutoshi Setou

Yuichiro Fujita

Masaru Ushijima

Masatoshi Wakui

Provided is a method for sorting a number of samples into an appropriate number of clusters according to their characteristics. Highly-correlated peaks are extracted from mass spectrum data obtained for the samples (S). Using the extracted peaks, highly-correlated sample pairs are extracted (S). While removing samples having low degrees of correlation, highly-correlated sample pairs are integrated to form core clusters (S). Using singular peaks characterizing each core cluster, two or more core clusters are integrated to form clusters (S-S). These clusters include mixed clusters in which two or more clusters are mixed. Member determination formulae are created based on the singular peaks of each cluster (S-S). All samples, including those which have been excluded from the cluster determination process, are classified into clusters based on the member determination formulae (S). The member determination formulae can also be used to assign a new sample to one of the cluster.

Big-data analyzing Method and mass spectrometric system using the same method

Provided is a technique for using an optical microscope image of an area on a sample to collect area-specific information characterizing each kind of biological tissue from imaging mass analysis data. On an optical image of a two-dimensional target area on a sample, a difference is examined in the kind of tissue or other features and areas are specified, each regarded as the same kind of tissue. When data processing is initiated, peak information is extracted, for each specified area, from mass spectrum data of all the measurement points. A peak method is applied to each area to extract peak information. Then, when a command to compare a set of areas is given, the peak information of those areas is collected. By comparing the peak information of different areas by a machine learning algorithm or similar judging technique, area-specific peak information is obtained, and this information is stored in memory.

Mass-analysis data processing method and system

Growing community of inventors

Koto-ku, Japan

Masaaki Matsuura