Abstract: A charged particle emission device includes a pre-emission state detector configured to detect a pre-emission charged state which is a charged state of the charged object before charged particles are emitted, an emission time generator configured to generate an emission time based on a past emission time of charged particles and a charged state of the charged object after the emission, emission processor circuitry configured to emit charged particles to the charged object which is in the pre-emission charged state based on the generated emission time, a post-emission state detector configured to detect a post-emission charged state which is a charged state of the charged object after the charged particles are emitted, machine learning processor circuitry configured to cause a machine learning model to learn a correspondence among the pre-emission charged state, the post-emission charged state, and the emission time generated by the emission time generator.

Abstract: A charged particle emission device includes a pre-emission state detector configured to detect a pre-emission charged state which is a charged state of a charged object before the charged particles are emitted, a learned model configured to receive a charged state of a charged object and a control parameter related to a control amount used for control of the charged particles to be emitted to the charged object to generate an estimated charged state which is a charged state of the charged object after the charged particles are controlled under the control parameter and emitted, an estimated charged state generator configured to input the pre-emission charged state and a plurality of control parameters to the learned model to generate a plurality of estimated charged states corresponding to the pre-emission charged state and the plurality of control parameters.

Abstract: A permanent-magnet synchronous motor and an electric power steering device are driven by a first system including a first armature winding and a first control apparatus and by a second system including a second armature winding and a second control apparatus and are configured in such a way that if one system fails, driving by the one system is stopped but the driving is continued by the other system.

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: An imaging mass spectrometer includes an analysis executing section that executes MSn analysis (n?2) for a target component on each of a plurality of micro regions set in a two-dimensional or three-dimensional measurement region on a sample to collect data; a product ion extracting section that extracts product ions observed in the sample based on at least a part of the data collected by the analysis executing section; a two-dimensional distribution image creating section that creates a two-dimensional distribution image based on data of precursor ions and two-dimensional distribution images based on data of the product ions at the time of the MSn analysis; and a distribution relationship visualization section that examines a relationship of the two-dimensional distribution images of the precursor ions and the product ions, creates a figure or graph indicating an inclusion relationship of the two-dimensional distribution images, and displays the figure or graph.

Abstract: An imaging mass spectrometer according to one aspect of the present invention includes an analysis executing section (1) configured to collect data by executing predetermined analysis on each of a plurality of micro regions set in a two-dimensional measurement region (50) on a sample (50) or a three-dimensional measurement region in the sample; a first image creating section (21) that uses the data obtained by the analysis executing section (1) to create one or a plurality of first distribution images each reflecting a distribution of one or a plurality of specific components included in the sample (50); a formula storage section (23) that stores, as a formula, a chemical reaction formula including at least the one or a plurality of specific components as elements, or a calculation formula including an amount of the specific component as element; a signal value calculating section (25) that calculates different signal values from the signal values in the micro regions constituting the one or the plurality of

Abstract: An imaging mass spectrometer includes an analysis executing section that executes MSn analysis for a target component on each of a plurality of micro regions set within a two-dimensional measurement region on a sample to collect data; an ion selecting section that selects a plurality of kinds of product ions derived from, or assumed to be derived from, the target component based on at least a part of the data collected by the analysis executing section; and a distribution image creating section that determines, using signal strength of each of the kinds of product ions in each micro region within the measurement region. a small region in which all of the kinds of product ions are detected or a small region assumed to have high reliability that all of the kinds of product ions are derived from the target component, and creates a distribution image visualizing the small region.

Abstract: Provided is a rotating electric machine, including: a stator including: an annular core back; and a plurality of teeth projecting in a radial direction from the core back and being arranged in a circumferential direction, the plurality of teeth having slots each formed between the plurality of teeth adjacent to each other in the circumferential direction; and a rotor including: an annular rotor core which is arranged coaxially with the stator through a magnetic gap; and a plurality of magnetic poles arranged on the rotor core in the circumferential direction, wherein the rotor core includes a plurality of segment cores formed by dividing the rotor core in the circumferential direction with at division surfaces, and wherein the number of segments of the rotor core is different from a divisor and a multiple of the greatest common divisor of the number of poles of the rotor and the number of slots.

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 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: 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 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: 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: An imaging mass spectrometer includes: a storage configured to acquire and store data constituting a first imaging graphic indicating an ion intensity distribution in a specific one or plurality of m/z or m/z ranges based on data obtained by mass spectrometry for a sample; a Raman imaging data acquisition unit configured to acquire and store data constituting one or plurality of second imaging graphics obtained by Raman analysis that is a type different from mass spectrometry for the sample; a signal intensity normalization processor configured to perform data conversion processing of normalizing signal intensity in one or plurality of first and second imaging graphics; an adjustment processor configured to perform data processing of aligning spatial resolutions of the one or plurality of first and second imaging graphics; and a statistical analysis processor configured to execute statistical analysis processing on images and to classify the first and second imaging graphics.

Abstract: An imaging mass spectrometry unit (1) executes predetermined analysis on each of a plurality of micro areas set in a two-dimensional measurement region on a sample or a three-dimensional measurement region in a sample to acquire spectrum data. A clustering execution section (21) classifies spectrum data for a plurality of measurement points obtained for a reference sample into any of a plurality of clusters. A clustering model information storage section (22) stores a clustering model obtained by clustering processing. A segmentation execution section (23) classifies respective spectral data for a plurality of measurement points obtained for a sample other than a reference sample using a clustering model, and a spatial distribution image creation section (24) creates a segmentation image obtained by partitioning a two-dimensional or three-dimensional image into a plurality of small regions on the basis of a result of the classification.

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.