Abstract: A large current electron beam is stably emitted from an electron gun of a charged particle beam device. The electron gun of the charged particle beam device includes: a SE tip 202; a suppressor 303 disposed rearward of a distal end of the SE tip; a cup-shaped extraction electrode 204 including a bottom surface and a cylindrical portion and enclosing the SE tip and the suppressor; and an insulator 208 holding the suppressor and the extraction electrode. A shield electrode 301 of a conductive metal having a cylindrical portion 302 is provided between the suppressor and the cylindrical portion of the extraction electrode. A voltage lower than a voltage of the SE tip is applied to the shield electrode.

Abstract: A matrix-derived peak information acquisition unit (31) creates a peak list that summarizes various ions derived from a matrix and their theoretical m/z values based on a result of analysis of a sample of only a matrix, and stores the peak list in a matrix-derived peak information storage unit (32). When an actually-measured mass spectrum of a target sample is obtained, a mass calibration reference peak detection unit (33) uses a peak list corresponding to a matrix used for analysis to identify an ion peak derived from a matrix appearing in the actually-measured mass spectrum. A mass calibration information calculation unit (35) obtains mass calibration information from an actually-measured m/z value and a theoretical m/z value of the identified peak, and a mass calibration processing unit (37) uses the mass calibration information to correct an m/z value of a peak derived from a target compound on the actually-measured mass spectrum.

Abstract: In a data processing unit, alignment is performed by appropriately deforming one image among MS imaging images acquired from different samples so that positions and sizes on the MS imaging image are matched (S1 to S5). When the aligned image is displayed on a screen of a display unit and a user sets a region of interest on the image serving as a reference (S6), a micro region including a center point within a range of the set region of interest is extracted in each of an image serving as the reference and an image not serving as the reference (S7).

Abstract: A mass spectrometric data processing program that processes mass spectrometric data causes a data processor including a computer to execute a data conversion process in which representative value data, which is representative value data including a data set of a representative value of mass-to-charge ratio information and an ion intensity with respect to the representative value, is converted into profile data, which is ion intensity data with respect to the mass-to-charge ratio information.

Abstract: The compound list stored in identification information memory is populated with theoretical masses associated with a variety of compounds, as well as information such as the type of matrix capable of detecting said compound, potential neutral loss, etc. The adduct ion list, meanwhile, is populated with theoretical masses associated with a variety of adduct ions, as well as other information such as types of matrices capable of producing adducts, etc. When a user specifies a peak on the mass spectrum for a compound search, compound candidate search portion extracts combination candidates based on how well the measured m/z value of the specified peak matches the m/z value for combinations of compounds in the compound list and adduct ions in the adduct ion list, while the type of matrix used during measurement serves as a condition to narrow down the combinations. Display processing portion displays a list of the search results.

Abstract: A mass spectrometric data processing program that processes mass spectrometric data causes a data processor including a computer to execute a data conversion process in which representative value data, which is representative value data including a data set of a representative value of mass-to-charge ratio information and an ion intensity with respect to the representative value, is converted into profile data, which is ion intensity data with respect to the mass-to-charge ratio information.

Abstract: After setting an intensity value equal to or lower than a predetermined level in mass spectrum data as invalid data, an uncompressed data array in which intensity values are arrayed in the order of m/z is divided into blocks per predetermined number of pieces of data. When significant intensity values are consecutive in order from the start of each block, this consecutive number and the respective intensity values are used as data for compression. When invalid data is consecutive, this consecutive number is used as data for compression. Then, sequence numbers of data at the start of each block after compression are collected to create an index and the index is stored together with the compressed data.

Abstract: The user specifies regions of interest (ROIs) such as a region where a large amount of compound to be identified is estimated to be included and a region where the compound is overlapped with another compound on one or more specific MS images, and specifies addition or subtraction of the ROIs. For each of the specified ROIs, an average MS/MS spectrum is calculated from MS/MS spectrum data at measurement points in the regions, and the average MS/MS spectra at the ROIs are subjected to addition or subtraction, to obtain an MS/MS spectrum. By addition between the ROIs, the intensity of peak derived from the target compound can be increased. By subtraction between the ROIs, a peak derived from the other compound overlapped with the target compound can be removed. When the MS/MS spectrum after addition or subtraction is subjected to library search for identification, a score indicating the similarity of the spectrum is higher than the conventional score, and the identification accuracy can be improved.

Abstract: A matrix-derived peak information acquisition unit (31) creates a peak list that summarizes various ions derived from a matrix and their theoretical m/z values based on a result of analysis of a sample of only a matrix, and stores the peak list in a matrix-derived peak information storage unit (32). When an actually-measured mass spectrum of a target sample is obtained, a mass calibration reference peak detection unit (33) uses a peak list corresponding to a matrix used for analysis to identify an ion peak derived from a matrix appearing in the actually-measured mass spectrum. A mass calibration information calculation unit (35) obtains mass calibration information from an actually-measured m/z value and a theoretical m/z value of the identified peak, and a mass calibration processing unit (37) uses the mass calibration information to correct an m/z value of a peak derived from a target compound on the actually-measured mass spectrum.

Abstract: In a data processing unit, alignment is performed by appropriately deforming one image among MS imaging images acquired from different samples so that positions and sizes on the MS imaging image are matched (S1 to S5). When the aligned image is displayed on a screen of a display unit and a user sets a region of interest on the image serving as a reference (S6), a micro region including a center point within a range of the set region of interest is extracted in each of an image serving as the reference and an image not serving as the reference (S7).

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.

Abstract: For every acquisition of a set of mass spectrum data, a mass calibrator (determines the amount of mass discrepancy using the appearance position of a peak originating from an internal standard substance having a known m/z value, and performs a process for correcting the mass discrepancy. A mass calibration information collector (collects the amount of mass discrepancy or mass correction quantity for each set of mass spectrum data. After the completion of the measurement, a three-dimensional display information creator creates a three-dimensional graph showing the large number of collected mass correction quantities plotted in a three-dimensional space in which the retention time in a primary column and the retention time in a secondary column in a comprehensive two-dimensional LC unit are represented by two mutually orthogonal axes while the mass correction quantity is represented by the axis orthogonal to those two axes.

Abstract: An optical image formation unit forms an optical image of an interest region based on data obtained through image acquiring of the surface of a specimen. An intensity image production unit produces an intensity image illustrating ion spatial distribution at an m/z value specified based on mass spectrum data obtained for each measurement point in the interest region. An image superimposing processor produces an image by superimposing the optical image and the intensity image at a predetermined m/z value in accordance with an instruction from a user, and a display processor displays the image on a screen of a display unit. When the user performs a predetermined operation, the display processor displays a set screen for adjusting the brightness and contrast of the optical image, and an image parameter adjustment unit changes the brightness and contrast of the optical image in the superimposed image independently from the intensity image.

Abstract: The compound list stored in identification information memory is populated with theoretical masses associated with a variety of compounds, as well as information such as the type of matrix capable of detecting said compound, potential neutral loss, etc. The adduct ion list, meanwhile, is populated with theoretical masses associated with a variety of adduct ions, as well as other information such as types of matrices capable of producing adducts, etc. When a user specifies a peak on the mass spectrum for a compound search, compound candidate search portion extracts combination candidates based on how well the measured m/z value of the specified peak matches the m/z value for combinations of compounds in the compound list and adduct ions in the adduct ion list, while the type of matrix used during measurement serves as a condition to narrow down the combinations. Display processing portion displays a list of the search results.

Abstract: The user specifies regions of interest (ROIs) such as a region where a large amount of compound to be identified is estimated to be included and a region where the compound is overlapped with another compound on one or more specific MS images, and specifies addition or subtraction of the ROIs. For each of the specified ROIs, an average MS/MS spectrum is calculated from MS/MS spectrum data at measurement points in the regions, and the average MS/MS spectra at the ROIs are subjected to addition or subtraction, to obtain an MS/MS spectrum. By addition between the ROIs, the intensity of peak derived from the target compound can be increased. By subtraction between the ROIs, a peak derived from the other compound overlapped with the target compound can be removed. When the MS/MS spectrum after addition or subtraction is subjected to library search for identification, a score indicating the similarity of the spectrum is higher than the conventional score, and the identification accuracy can be improved.

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.

Abstract: For every acquisition of a set of mass spectrum data, a mass calibrator (determines the amount of mass discrepancy using the appearance position of a peak originating from an internal standard substance having a known m/z value, and performs a process for correcting the mass discrepancy. A mass calibration information collector (collects the amount of mass discrepancy or mass correction quantity for each set of mass spectrum data. After the completion of the measurement, a three-dimensional display information creator creates a three-dimensional graph showing the large number of collected mass correction quantities plotted in a three-dimensional space in which the retention time in a primary column and the retention time in a secondary column in a comprehensive two-dimensional LC unit are represented by two mutually orthogonal axes while the mass correction quantity is represented by the axis orthogonal to those two axes.

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.

Abstract: Specific-site extraction unit 24 extracts specific sites from microscopy images that are obtained by staining or fluorescence labeling of specific sites in a specimen 4. Based on the similarity between MS imaging data and the spatial distribution of the specific sites, cluster analysis unit 25 and division count determination processing unit 26 evaluate the similarity with the spatial distribution of all pixels that belong to one cluster when each of the pixels are categorized into a plurality of clusters. Since the specific sites are sites that include the same characteristic substance, clustering is judged to be appropriate if the similarity in spatial distribution is high. Hence, based on the correlation between spatial distributions, an appropriate division count for the cluster analysis is determined, and the result of the cluster analysis using the division count is output on a display unit 31.

Abstract: When a sample plate 3 is set on a sample stage 2, an irradiation trace formation controller 22 appropriately moves the sample stage 2 and throws a short pulse of high-power laser beam to create an irradiation trace at a predetermined position on the sample plate 3. The irradiation trace has a unique shape. A microscopic image of the irradiation trace is captured and saved in an image storage section 32. After the sample plate 3 is temporarily removed from the stage 2 to apply a matrix to a sample, the sample plate 3 is re-set on the same stage 2. Then, the displacement of the sample plate 3 from its original position is calculated from the difference in the position of the irradiation trace between an image taken at that point in time and the image previously stored in the image storage section 32. Based on the calculated result, an analysis position corrector 24 modifies the position information of an area selected by an operator. Thus, the displacement of the re-set sample plate can be accurately detected.