Abstract: When a user designates a region of interest for a plurality of groups targeted for difference analysis in a microscopic observation image of a sample, an m/z candidate search unit (32) searches for candidates for m/z presumed to differ, based on collected mass spectral data. An intensity histogram creation unit processing unit (33) creates and displays a graph showing a frequency distribution of peak intensities at measurement points included in the region of interest of the groups for each of the m/z candidates. If this graph exhibits multimodality, the data distribution is not suitable for a statistical hypothesis test. Thus, an intensity range determination unit (34) limits an intensity range in accordance with a user's instruction. Then, an ROI correction unit (35) corrects the ROI so as to include only measurement points with peak intensities within the limited intensity range.

Abstract: An analysis operator checks an optical microscopic image obtained with an imaging mass microscope and indicates a color characteristic of an area which the analysis operator is focusing on. An optical microscopic image feature extractor calculates luminance distribution data in the indicated color. An image position adjustment processor performs a position adjustment process on a luminance distribution image derived from the optical microscopic image and an MS imaging graphic, while a resolution adjuster equalizes their spatial resolutions. A statistical analysis processor calculates a coefficient of spatial correlation between the luminance distribution image and the MS imaging graphic for each mass-to-charge ratio. Based on the calculated correlation coefficients, an analysis result display processor extracts a mass-to-charge ratio which shows an ion intensity distribution similar to the luminance distribution image. and displays it on a display unit.

Abstract: A multivariate analysis operation unit (43) represents each of chromatogram data at a specific wavelength ?1 in data acquired by a PDA detector (2) and mass spectrum data repeatedly obtained by a mass spectrometer (3) in the form of a matrix, and then calculates a regression coefficient matrix by performing a PLS operation with a two-dimensional matrix based on the mass spectrum data as an explanatory variable and a one-dimensional matrix based on the chromatogram data as an explained variable. A regression coefficient is obtained with respect to each m/z value, and an m/z value having a high regression coefficient indicates an m/z value of which the chromatogram wavelength at a specific wavelength is similar to an extracted ion chromatogram (XIC). Accordingly, an m/z-value extracting unit (44) compares the regression coefficient with a threshold and extracts a significant m/z value, and an XIC creating unit (46) creates an XIC of the extracted m/z value.

Abstract: A peak-waveform conversion processor detects a peak in a profile spectrum created based on data obtained at each measurement point in a sample's measurement area, and acquires a rod-like peak by performing centroid conversion processing on a waveform of the peak having a mountain shape. When an operator specifies a target compound to be observed, a mass difference calculation unit calculates a mass difference between a precise m/z of the target compound and an m/z of a rod-like peak at a position close to the precise m/z for each measurement point. A mass difference image creator creates an image showing a distribution of mass differences based on the calculated mass differences. A mass difference related information calculation unit acquires an index value such as an average value of a plurality of mass differences for each mass difference image, and creates a graph showing a frequency distribution of the mass differences.

Abstract: In an imaging mass spectrometer for analyzing the same kind of samples using results of imaging mass spectrometric analysis performed on those samples, a measurement section (1) acquires mass spectrometric data by performing an analysis on each of the micro areas on a sample. A region-of-interest setter (32) sets an ROI on each sample, and divides each ROI into the same number of subregions each including the micro areas so that the subregions correspond to each other on the samples respectively covering roughly identical sites on the samples. An individual-index-value calculator (33) calculates an individual index value for each subregion, using mass spectrometric data acquired at the micro areas in the subregion, the individual index value reflecting a similarity or difference among the samples in terms of a degree of expression of each m/z value.

Abstract: A measurement section (1) performs a mass spectrometric analysis for each micro area within a measurement area on a sample. A dimension reduction processor (23) performs data processing by non-linear dimension reduction using manifold learning on mass spectrometric data for each micro area, to obtain, for each micro area, a set of data reduced to three dimensions from the dimensions corresponding to the number of mass-to-charge-ratio values. A display color determiner (24) determines a color for each of the points corresponding to the data of the micro areas after the dimension reduction, by arranging those points within a three-dimensional space having three axes representing the three dimensions, with three primary colors respectively assigned to the three axes.

Abstract: A peak-waveform conversion processor detects a peak in a profile spectrum created based on data obtained in each micro area in a measurement area, and acquires a rod-like peak by performing centroid conversion processing on a waveform of the peak in a mountain shape. When receiving a precise m/z value Ma of a target compound and an allowable range ?M of m/z, an image creator determines whether or not there is a rod-like peak in a range defined by “Ma±?M”, for each micro area. When there is a rod-like peak, a height value of the rod-like peak is defined as the signal intensity value of the target compound in the micro area. In contrast, when there is no rod-like peak in the range defined by “Ma±?M”, the signal intensity value of the target compound in the micro area is set to zero.

Abstract: A user enters structures of a plurality of metabolite candidates contained in a sample. A dissociation pattern predictor predicts a dissociation pattern for each metabolite candidate. An MS/MS spectrum estimator estimates an MS/MS spectrum and stores it in a teaching data storage. An imaging mass spectrometry unit acquires measured MS/MS spectra for each measurement point within a measurement range on a sample by performing an MS/MS analysis in which a precursor ion based on mass information of each metabolite candidate is used as an analysis target. A multivariate analysis processor performs a multivariate analysis in which the peak information based on the MS/MS spectra stored in the teaching data storage is used as teaching data, to classify measured MS/MS spectra at each measurement point into a plurality of metabolite candidates. Based on the classification result, a spatial distribution creator creates an image showing a spatial distribution for each metabolite candidate.

Abstract: A composition formula of each precursor ion located on a measured mass spectrum is estimated from the m/z value of the precursor ion (S11). A composition formula of each product ion located on a measured MS/MS spectrum is estimated from the m/z value of the product ion (S11). For each product-ion peak, the assignment of the peak is determined by verifying consistency between the composition formula of the product ion and the composition formula of each of the precursor ions (S13-S14). Based on the assignment result, the MS/MS spectrum data are separated and an MS/MS spectrum for each precursor ion is created (S15-S16). In this manner, MS/MS spectra which respectively correspond to a plurality of compounds can be created from an MS/MS spectrum in which the product ions originating from those compounds are mixed, and those compounds can be identified.

Abstract: At the time of superimposing and aligning a stained image and a mass spectrometric (MS) image obtained for the same sample, an image display processor displays, on the superimposed images, grid lines (62) at the spacing corresponding to an operation of a grid spacing adjustment slider (63). When an operator depresses an image deformation range “SET” button (64), specifies an arbitrary area on the superimposed images with a mouse, and then depresses a “SELECT” button (65), an image deformation range specification receiving section determines an image deformation range. When the operator selects an intersection (grid point) of the grid lines (62) within the image deformation range and performs an operation of moving the intersection point to an arbitrary position, an image deformation processor deforms an image included in the image deformation range in accordance with the operation.

Abstract: Imaging mass spectrometry section (100) performs a mass spectrometric analysis at each of the micro areas set within a measurement area on a target sample, and acquires a graphical image showing a signal-intensity distribution at a specific mass-to-charge ratio or mass-to-charge-ratio range. Quantitative analysis section (300) determines a quantitative value using an analysis result obtained by performing an analysis on the sample collected from each predetermined site within the measurement area of the target sample, using a predetermined analytical technique exhibiting a higher level of quantitative determination performance than the mass spectrometric analysis.

Abstract: A permanent magnet synchronous machine includes a stator including a plurality of split core blocks that are continuously arranged in a rotation direction of a rotor. The plurality of split core blocks each includes: a permanent magnet; a pair of teeth arranged on both ends of the permanent magnet so as to sandwich the permanent magnet in the rotation direction; and connection teeth, which are provided on axial end portions of the pair of teeth sandwiching the permanent magnet, and are configured to connect the pair of teeth.

Abstract: A peak-waveform conversion processor detects a peak in a profile spectrum created based on data obtained at each measurement point in a sample's measurement area, and acquires a rod-like peak by performing centroid conversion processing on a waveform of the peak having a mountain shape. When an operator specifies a target compound to be observed, a mass difference calculation unit calculates a mass difference between a precise m/z of the target compound and an m/z of a rod-like peak at a position close to the precise m/z for each measurement point. A mass difference image creator creates an image showing a distribution of mass differences based on the calculated mass differences. A mass difference related information calculation unit acquires an index value such as an average value of a plurality of mass differences for each mass difference image, and creates a graph showing a frequency distribution of the mass differences.

Abstract: A peak-waveform conversion processor detects a peak in a profile spectrum created based on data obtained in each micro area in a measurement area, and acquires a rod-like peak by performing centroid conversion processing on a waveform of the peak in a mountain shape. When receiving a precise m/z value Ma of a target compound and an allowable range ?M of m/z, an image creator determines whether or not there is a rod-like peak in a range defined by “Ma±?M”, for each micro area. When there is a rod-like peak, a height value of the rod-like peak is defined as the signal intensity value of the target compound in the micro area. In contrast, when there is no rod-like peak in the range defined by “Ma±?M”, the signal intensity value of the target compound in the micro area is set to zero.

Abstract: An image creator (33) creates an optical image and a mass spectrometric (MS) image for each m/z for a measurement area on the same sample, and an image alignment processor (34) equalizes resolutions and aligns the images. A regression analysis executer (35) performs partial least squares regression (PLS) to create a regression model, using a matrix based on the MS imaging data as an explanatory variable and a matrix, which has a luminance value for each pixel as an element and has been created from the optical image, as an explained variable. An image creator (33) applies the explanatory variable, that is, a signal intensity value for each mass-to-charge ratio value in each pixel of the MS imaging data, to the regression model to create an estimation image. A display processor (39) displays a reference image and the estimation image on a screen of a display unit (5). Thus, an operator can confirm the degree of similarity in distribution between the MS image and the optical image.

Abstract: A device for analyzing data obtained by mass spectrometry, includes: a data acquisition section that acquires mass spectrometry data obtained by first mass spectrometry including subjecting a precursor ion derived from a sample to a reaction using a radical; a first data generation section that generates first data showing two or more candidate structures of a molecule contained in the sample or the precursor ion; a second data generation section that generates second data showing a mass-to-charge ratio or a detected intensity of a product ion generated in a case of subjecting the precursor ion having each of the structures to the reaction; and an information generation section that generates information about identification of the molecule contained in the sample.

Abstract: A stator includes a core back portion, a plurality of teeth extending inward in a radial direction of the stator from the core back portion, a first system coil portion and a second system coil portion wound on each of the teeth, and a magnetic interference reduction member provided between the first system coil portion and the second system coil portion to reduce magnetic interference between the first system coil portion and the second system coil portion. Further, the first system coil portion and the second system coil portion are connected to mutually different power supply sources, that is, the first system coil portion and the second system coil portion are each connected to a first system power supply source or a second system power supply source.

Abstract: A permanent magnet motor includes a rotor having a field pole of a rotor core, wherein the field pole has a radius smaller than an arc centered on a shaft of the rotor, a multiple of slits are formed in the field pole, the multiple of slits are disposed so that an interval between a first central line positioned between a multiple of the slits and a second central line positioned between a neighboring multiple of the slits increases as the first central line and the second central line head toward an outer peripheral side of the rotor core, and of the multiple of slits of the field pole, a first slit disposed in a central position of the field pole, and a second slit and a third slit disposed on either side of the first slit, are disposed within 20% of a circumferential direction width of the permanent magnet.

Abstract: A reference image data input section reads, from a Raman spectroscopic analyzer, a set of data constituting a Raman spectroscopic imaging graphic for a target sample. An ROI specification processor) displays a Raman spectroscopic imaging graphic based on those data on a display unit. An operator viewing the image operates an input unit to set a plurality of ROIs. Then, the ROI specification processor determines position information of the ROIs. An analysis processor extracts the data of measurement points corresponding to the set ROIs from MS imaging data acquired by an analysis performed by an imaging mass spectrometry unit for the same target sample. The processor also calculates an average mass spectrum from the data of a large number of measurement points for each ROI, and performs a multivariate analysis on the plurality of average mass spectrum data to compare the ROIs with each other or divide them into groups.

Abstract: Provided is a rotary electric machine capable of reducing an amount of leakage magnetic flux passing through connecting portions. A cutout portion is formed in the connecting portion so as to be located on a side closer to a magnetic air gap portion. The connecting portion has a slot portion-side thin connecting portion formed so as to be closer to a slot portion than the cutout portion. A slot projecting portion projecting from the slot portion toward the magnetic air gap portion with respect to the slot portion-side thin connecting portion is formed in a portion of the connecting portion that is shifted in the circumferential direction from a portion of the connecting portion in which the slot portion-side thin connecting portion is formed. The slot projecting portion is arranged on each of circumferential sides of the cutout portion.