Patents by Inventor Shigeki Kajihara

Shigeki Kajihara has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10896813
    Abstract: When conducting imaging mass analysis for a region to be measured on a sample, an individual reference value calculating part obtains a maximum value in Pi/Ii of respective measuring points, and stores the value together with measured data as an individual reference value. When performing comparison analysis for a plurality of the data obtained from different samples, a common reference value determining part reads out corresponding a plurality of the individual reference values and determines a minimum value as a common reference value Fmin. A normalization calculation processing part normalizes the respective intensity values by multiplying the intensity values read out from an external memory device by a normalization coefficient long_Max×(Fmin/Pi) obtained from the common reference value Fmin, TIC values Pi at the respective measuring points, and a maximum allowable value long_Max of a variable storing the intensity values at the time of operation.
    Type: Grant
    Filed: December 22, 2014
    Date of Patent: January 19, 2021
    Assignee: Shimadzu Corporation
    Inventors: Masahiro Ikegami, Shigeki Kajihara
  • Publication number: 20200065699
    Abstract: This analytical data analysis method uses machine learning of analysis result data (31) measured by an analyzer (1), and includes generating simulated data (32) in which a data variation has been added to the analysis result data (31) within a range that does not affect identification, performing the machine learning using the generated simulated data (32), and performing discrimination using a discrimination criterion (23b) obtained through the machine learning.
    Type: Application
    Filed: January 19, 2017
    Publication date: February 27, 2020
    Applicant: SHIMADZU CORPORATION
    Inventors: Yusuke TAMAI, Shigeki KAJIHARA, Shin FUJITA, Ryota AISU
  • Publication number: 20190267222
    Abstract: To improve the reliability of mutual diagnosis in a cancer determination by machine learning, m/z values of ions originating from tumor markers or similar substances used in other related tests are stored in a particular m/z-value database. A spectrum information filtering section deletes signal intensities at the m/z values stored in the particular m/z-value database from a large number of mass spectra classified by the presence or absence of cancer. Using the data which remain after the deletion as training data, a training processor obtains training-result information and stores it in a training result database. A judgment processor similarly deletes signal intensities at the predetermined m/z values from mass spectrum data obtained for a target sample to be judged. Then, based on the training-result information stored in the training-result database, the judgment processor determines whether the target sample should be classified into a cancerous group or non-cancerous group.
    Type: Application
    Filed: July 29, 2016
    Publication date: August 29, 2019
    Applicant: SHIMADZU CORPORATION
    Inventors: Hideaki IZUMI, Shigeki KAJIHARA
  • Patent number: 10312067
    Abstract: If spatial measurement point intervals in imaging mass analysis data of two samples to be compared are different and the degrees of spatial distribution spreading of substances are compared, one of the data is defined as a reference, the measurement point intervals in the other of the data are redefined so as to be equalized to the reference, and a mass spectrum at each virtual measurement point set as a result of the redefinition is obtained through interpolation or extrapolation based on a mass spectrum at an actual measurement points. If the arrays of the m/z values of mass spectra are different for each sample, the m/z value positions of the mass spectrum in one of the data are defined as a reference, and the intensity values corresponding to the reference m/z values are obtained through interpolation or extrapolation for the mass spectrum of the other of the data.
    Type: Grant
    Filed: April 21, 2014
    Date of Patent: June 4, 2019
    Assignee: SHIMADZU CORPORATION
    Inventors: Masahiro Ikegami, Shigeki Kajihara
  • Patent number: 10012572
    Abstract: 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.
    Type: Grant
    Filed: April 27, 2012
    Date of Patent: July 3, 2018
    Assignee: Japanese Foundation for Cancer Research, Keio University, National University Corporation Hamamatsu, and Shimadzu Co.
    Inventors: Masaaki Matsuura, Masaru Ushijima, Masatoshi Wakui, Mitsutoshi Setou, Shigeki Kajihara, Kiyoshi Ogawa
  • Publication number: 20170358434
    Abstract: 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 (S2). Using the extracted peaks, highly-correlated sample pairs are extracted (S3). While removing samples having low degrees of correlation, highly-correlated sample pairs are integrated to form core clusters (S4). Using singular peaks characterizing each core cluster, two or more core clusters are integrated to form clusters (S5-S7). 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 (S8-S12). All samples, including those which have been excluded from the cluster determination process, are classified into clusters based on the member determination formulae (S14). The member determination formulae can also be used to assign a new sample to one of the cluster.
    Type: Application
    Filed: June 8, 2017
    Publication date: December 14, 2017
    Applicants: Shimadzu Corporation, Teikyo University
    Inventors: Masaaki MATSUURA, Yuichiro Fujita, Shigeki Kajihara
  • Publication number: 20170352525
    Abstract: When conducting imaging mass analysis for a region to be measured on a sample, an individual reference value calculating part obtains a maximum value in Pi/Ii of respective measuring points, and stores the value together with measured data as an individual reference value. When performing comparison analysis for a plurality of the data obtained from different samples, a common reference value determining part reads out corresponding a plurality of the individual reference values and determines a minimum value as a common reference value Fmin. A normalization calculation processing part normalizes the respective intensity values by multiplying the intensity values read out from an external memory device by a normalization coefficient long_Max×(Fmin/Pi) obtained from the common reference value Fmin, TIC values Pi at the respective measuring points, and a maximum allowable value long_Max of a variable storing the intensity values at the time of operation.
    Type: Application
    Filed: December 22, 2014
    Publication date: December 7, 2017
    Applicant: Shimadzu Corporation
    Inventors: Masahiro IKEGAMI, Shigeki KAJIHARA
  • Patent number: 9472386
    Abstract: Even when only mass spectra wherein the reproducibility of peak intensities is low are obtained in a mass spectrometry apparatus using, for example, a MALDI ion source, the correction of shifts in retention time using TICs for a plurality of specimens is performed with good precision. For each mass spectrum, variable scaling is executed which combines such first scaling as to equalize the extent of variations in signal intensity values in one mass spectrum, among different mass spectra, and second scaling for performing weighting according to relative variations in signal intensity values for each mass spectrum (S3). The signal intensity values after the scaling are added to obtain a total signal intensity value for one measurement time point (S4). From a plurality of total signal intensity values thus obtained, a TIC is created (S6). Using these TICs, RT alignment is executed (S8). Thus, the similarity in TIC waveforms increases, and RT alignment can be suitably performed.
    Type: Grant
    Filed: February 11, 2014
    Date of Patent: October 18, 2016
    Assignee: SHIMADZU CORPORATION
    Inventors: Yuichiro Fujita, Shigeki Kajihara
  • Publication number: 20150066387
    Abstract: MS1 and MS2 measurements of fractionated samples are performed. Based on the identification results and the S/N ratios of the MS1 peaks, an identification probability estimation model showing a relationship between the cumulative number of MS1 peaks and the number of MS1 peaks successfully identified through the MS2 measurements and identifications performed in ascending order of S/N ratio is created. S/N ratios of the MS1 peaks obtained by MS1 measurements are determined, and probabilities of substances in a target sample are estimated from S/N ratios using the aforementioned model. Optimization of precursor-ion selection and data-accumulation number is defined as the problem of maximizing the sum of identification probabilities of MS1 peaks selected for MS2 measurement, and formulated as an objective function using 0-1 variables. This function is solved as a 0-1 integer programming problem under preset conditions.
    Type: Application
    Filed: August 28, 2014
    Publication date: March 5, 2015
    Applicant: SHIMADZU CORPORATION
    Inventors: Yoshihiro YAMADA, Shigeki KAJIHARA
  • Patent number: 8873796
    Abstract: The present invention provides a method and apparatus for efficiently handling a large amount of data collected by an imaging mass analysis to present significant information for the analysis of the tissue structure of a biological sample or other objects in an intuitively understandable form for analysis operators. For each pixel 8b on a sample 8, a mass-to-charge ratio m/z(i) corresponding to the maximum intensity MI(i) in a mass spectrum is listed, and the largest value MII of the maximum intensities of all the pixels are extracted. A color scale corresponding to the intensity values within a range of 0 to MII is defined. For each pixel, the maximum intensity MI is compared with the color scale to assign a color to that pixel. A mapping image with the pixels shown in the respective colors is created and displayed.
    Type: Grant
    Filed: March 15, 2011
    Date of Patent: October 28, 2014
    Assignee: Shimadzu Corporation
    Inventors: Shigeki Kajihara, Masahiro Ikegami, Hiroko Morinaga
  • Publication number: 20140316717
    Abstract: If spatial measurement point intervals in imaging mass analysis data of two samples to be compared are different and the degrees of spatial distribution spreading of substances are compared, one of the data is defined as a reference, the measurement point intervals in the other of the data are redefined so as to be equalized to the reference, and a mass spectrum at each virtual measurement point set as a result of the redefinition is obtained through interpolation or extrapolation based on a mass spectrum at an actual measurement points. If the arrays of the m/z values of mass spectra are different for each sample, the m/z value positions of the mass spectrum in one of the data are defined as a reference, and the intensity values corresponding to the reference m/z values are obtained through interpolation or extrapolation for the mass spectrum of the other of the data.
    Type: Application
    Filed: April 21, 2014
    Publication date: October 23, 2014
    Applicant: SHIMADZU CORPORATION
    Inventors: Masahiro IKEGAMI, Shigeki KAJIHARA
  • Publication number: 20140303903
    Abstract: Even when only mass spectra wherein the reproducibility of peak intensities is low are obtained in a mass spectrometry apparatus using, for example, a MALDI ion source, the correction of shifts in retention time using TICs for a plurality of specimens is performed with good precision. For each mass spectrum, variable scaling is executed which combines such first scaling as to equalize the extent of variations in signal intensity values in one mass spectrum, among different mass spectra, and second scaling for performing weighting according to relative variations in signal intensity values for each mass spectrum (S3). The signal intensity values after the scaling are added to obtain a total signal intensity value for one measurement time point (S4). From a plurality of total signal intensity values thus obtained, a TIC is created (S6). Using these TICs, RT alignment is executed (S8). Thus, the similarity in TIC waveforms increases, and RT alignment can be suitably performed.
    Type: Application
    Filed: February 11, 2014
    Publication date: October 9, 2014
    Applicant: SHIMADZU CORPORATION
    Inventors: Yuichiro FUJITA, Shigeki KAJIHARA
  • Patent number: 8743138
    Abstract: In an imaging mass analysis, image information of a sample allows users to grasp specific information about the sample, such as distribution of a portion with a particular function or effect. The mass spectrum intensity data are normalized for each pixel so that the sum of the intensities over the entire mass-to-charge ratio (m/z) is one. Entropy is calculated by totaling the product of the intensity normalizing at each m/z and the logarithm of that intensity over the entire m/z range. After the entropy is calculated for each pixel, the pixels are colored according to their entropy values to display a two-dimensional color image of entropy distribution. The entropy of a cancerous portion is relatively small because of a high content of a specific kind of substance and the simplified composition of the substances. Thus, the cancerous part and the normal part of the entropy image can be distinguished.
    Type: Grant
    Filed: November 28, 2011
    Date of Patent: June 3, 2014
    Assignee: Shimadzu Corporation
    Inventors: Mitsutoshi Setou, Shigeki Kajihara
  • Patent number: 8694264
    Abstract: (EN) MS analysis, MS2 analysis, . . . , MSP analysis for peptide mixture are sequentially executed to obtain respective mass spectra (S1). At this time, an analysis in which precursor ion is changed or a different cleavage condition is set for the same precursor ion is performed plural times to put together peaks appearing in mass spectra that are obtained respectively. After the number of peaks is increased, a useful peak is extracted using commonality and complementarity of the peaks of MSm spectrum and MSm+1 spectrum and classification is performed for each type of peaks extracted to obtain an appearance frequency for each classification (S3, S4). An evaluation score on whether the extracted peak is a product ion and on a terminal is calculated based on reliability and appearance frequency that are obtained in advance (S8). The evaluation score is used in estimating sequence with the use of the extracted peak to decide and output, for example, the priority of sequence candidates (S8, S9).
    Type: Grant
    Filed: December 20, 2007
    Date of Patent: April 8, 2014
    Assignee: Shimadzu Corporation
    Inventors: Shigeki Kajihara, Jingwen Yao, Matthew Kelly
  • Patent number: 8612162
    Abstract: A method creates an accurate mass spectrum with a high resolving power based on a plurality of TOF spectra, while reducing the computation to assure real-time processing. TOF spectra are measured when ions are ejected from the loop orbit. Then a coincidence detection method determines what mass-to-charge ratio a peak appearing on the TOF spectra originates from. The time range in which a corresponding peak appears on other TOF spectra is set, and the existence of the peak in that range is determined. When the corresponding peak is found on other TOF spectra, the m/z is deduced from the peak on the TOF spectrum with the highest resolving power and a mass spectrum is created. From the peak density around the peak of interest, the reliability of the deduction is computed. For a low reliability peak, the ion ejection time is optimized and the TOF spectrum is measured again.
    Type: Grant
    Filed: March 14, 2011
    Date of Patent: December 17, 2013
    Assignee: Shimadzu Corporation
    Inventors: Osamu Furuhashi, Kiyoshi Ogawa, Shigeki Kajihara, Tohru Kinugawa
  • Patent number: 8433122
    Abstract: The present invention aims at providing a method and apparatus for presenting, based on an enormous amount of data collected by an imaging mass analysis, information which is significant for understanding the tissue structure and other information of a biological sample and which is intuitively easy to understand to analysis operator. For each pixel 8b on a sample 8, the mass-to-charge ratio m/z (i) corresponding to the maximum intensity MI(i) in the mass spectrum is extracted, and all the pixels are grouped into clusters in accordance with their m/z (i). One cluster corresponds to one substance. Then, the largest maximum intensity MI(i) among the maximum intensities of the pixels included in a cluster is extracted as the representative maximum intensity MI(cj) for each cluster, and these representative maximum intensities MI(cj) are displayed with cluster number cj.
    Type: Grant
    Filed: March 2, 2011
    Date of Patent: April 30, 2013
    Assignee: Shimadzu Corporation
    Inventor: Shigeki Kajihara
  • Patent number: 8324569
    Abstract: An MS analysis is performed for each micro area within a specified mass analysis area on a sample. Based on the data obtained by this analysis, a distribution image of a specified m/z ratio of m/z range is created and displayed on a display screen (S10-S14). When an operator selects a substance of interest on the displayed image and indicates its m/z (S15), one or more micro areas in which the MS spectrum intensity at the specified m/z is equal to or higher than a threshold are extracted, and an MS/MS analysis using the m/z of the substance of interest as the precursor is performed on the extracted micro areas (S26 and S27). An average MS/MS spectrum is calculated from the MS/MS spectrum data obtained for those micro areas (S28), and the substance of interest is identified based on the information relating to the peaks appearing on the average MS/MS spectrum (S19).
    Type: Grant
    Filed: July 3, 2008
    Date of Patent: December 4, 2012
    Assignee: Shimadzu Corporation
    Inventor: Shigeki Kajihara
  • Publication number: 20120278037
    Abstract: 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.
    Type: Application
    Filed: April 27, 2012
    Publication date: November 1, 2012
    Applicants: JAPANESE FOUNDATION FOR CANCER RESEARCH, SHIMADZU CORPORATION, National University Corporation Hamamatsu University School Of Medicine, KEIO UNIVERSITY
    Inventors: Masaaki MATSUURA, Masaru USHIJIMA, Masatoshi WAKUI, Mitsutoshi SETOU, Shigeki KAJIHARA, Kiyoshi OGAWA
  • Patent number: 8258467
    Abstract: In a time-of-flight spectrum obtained when the overtaking of ions of different kinds has occurred, mass-to-charge ratios M1, M2, and M3 are computed with a predetermined conversion formula by using a plurality of assumed numbers of turns for one peak. Then, the flight times Tf1, Tf2, and Tf3 for an overtakingless measurement are computed by using an inverse conversion formula. If peaks respectively corresponding to the flight times Tf1, Tf2, and Tf3 for an overtakingless measurement exist on an overtakingless time-of-flight spectrum, their intensities i1, i2, and i3 are obtained. Then, the intensity Ia of the original peak is distributed to the mass-to-charge ratios M1, M2, and M3 in accordance with the intensity ratio. The same intensity distribution processing is performed for all or selected plural peaks. The intensities assigned to the same mass-to-charge ratio are integrated.
    Type: Grant
    Filed: November 10, 2008
    Date of Patent: September 4, 2012
    Assignee: Shimadzu Corporation
    Inventor: Shigeki Kajihara
  • Publication number: 20120133671
    Abstract: In an imaging mass analysis, image information of a sample allows users to grasp specific information about the sample, such as distribution of a portion with a particular function or effect. The mass spectrum intensity data are normalized for each pixel so that the sum of the intensities over the entire mass-to-charge ratio (m/z) is one. Entropy is calculated by totaling the product of the intensity normalizing at each m/z and the logarithm of that intensity over the entire m/z range. After the entropy is calculated for each pixel, the pixels are colored according to their entropy values to display a two-dimensional color image of entropy distribution. The entropy of a cancerous portion is relatively small because of a high content of a specific kind of substance and the simplified composition of the substances. Thus, the cancerous part and the normal part of the entropy image can be distinguished.
    Type: Application
    Filed: November 28, 2011
    Publication date: May 31, 2012
    Applicants: SHIMADZU CORPORATION, NATIONAL UNIVERSITY CORPORATION HAMAMATSU UNIVERSITY SCHOOL OF MEDICINE
    Inventors: Mitsutoshi SETOU, Shigeki KAJIHARA