WO2023058234A1 - 質量分析データ解析方法及びイメージング質量分析装置 - Google Patents

質量分析データ解析方法及びイメージング質量分析装置 Download PDF

Info

Publication number
WO2023058234A1
WO2023058234A1 PCT/JP2021/037385 JP2021037385W WO2023058234A1 WO 2023058234 A1 WO2023058234 A1 WO 2023058234A1 JP 2021037385 W JP2021037385 W JP 2021037385W WO 2023058234 A1 WO2023058234 A1 WO 2023058234A1
Authority
WO
WIPO (PCT)
Prior art keywords
peak
mass
analysis
regions
unit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2021/037385
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
真一 山口
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shimadzu Corp
Original Assignee
Shimadzu Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shimadzu Corp filed Critical Shimadzu Corp
Priority to PCT/JP2021/037385 priority Critical patent/WO2023058234A1/ja
Priority to JP2023552664A priority patent/JP7622864B2/ja
Priority to US18/691,405 priority patent/US20240387158A1/en
Publication of WO2023058234A1 publication Critical patent/WO2023058234A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J49/00—Particle spectrometers or separator tubes
    • H01J49/0027—Methods for using particle spectrometers
    • H01J49/0036—Step by step routines describing the handling of the data generated during a measurement
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/62—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating the ionisation of gases, e.g. aerosols; by investigating electric discharges, e.g. emission of cathode
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J49/00—Particle spectrometers or separator tubes
    • H01J49/0004—Imaging particle spectrometry

Definitions

  • the present invention relates to an imaging mass spectrometer and a method of analyzing data collected by the imaging mass spectrometer.
  • An imaging mass spectrometer is a device that can visualize the distribution of compounds on samples such as biological tissue sections.
  • the imaging mass spectrometer disclosed in Patent Document 1 is equipped with an ion source based on the matrix-assisted laser desorption/ionization (MALDI) method, and measures a two-dimensional measurement area on the sample.
  • MALDI matrix-assisted laser desorption/ionization
  • a predetermined mass-to-charge ratio (strictly speaking, italicized “m/z” is used in this specification as “mass-to-charge ratio” or simply “m/z” for each finely divided microregion. Collect mass spectral data over the range indicated).
  • an imaging mass spectrometry by using a sample collection method called laser microdissection, a sample piece is cut out from each minute region in the measurement area, and a liquid sample prepared from each sample piece is mass-produced.
  • a sample collection method called laser microdissection
  • a liquid sample prepared from each sample piece is mass-produced.
  • an imaging mass spectrometer also includes a device using such a sampling method.
  • the imaging mass spectrometer extracts the signal intensity value at the m/z value of ions originating from a specific compound, for example, from the mass spectrum data obtained for each minute region on the sample, and extracts the sample By creating an image in which the signal intensity values are arranged according to the two-dimensional position of each minute area, an image showing the distribution of the specific compound can be obtained.
  • images are hereinafter referred to as MS (Mass Spectrometry) imaging images.
  • MS Mass Spectrometry
  • the user indicates an appropriate mass peak while looking at the acquired mass spectrum. Then, in the imaging mass spectrometer, an MS imaging image corresponding to the indicated m/z value of the mass peak is created and displayed on the screen of the display unit.
  • the average mass spectrum described above is obtained by averaging the so-called profile spectrum, which is created based on the raw data obtained by mass spectrometry for each minute area within the measurement area.
  • the width of mass peaks observed in profile spectra depends on the mass resolving power of the mass spectrometer used for measurement.
  • Time-of-flight mass spectrometers which are commonly used in imaging mass spectrometers, generally have relatively high mass resolution, but mass peaks appearing in profile spectra have wide tails. There is In such a case, the difference in m/z value between the mass peak observed in a relatively wide area within the measurement area and the mass peak observed locally in a narrow area within the measurement area is small, and the signal intensity of the latter mass peak is lower than that of the former. If the signal intensity is significantly smaller than the signal intensity of the mass peak of , when the mass spectrum is averaged or integrated, the mass peak with the smaller signal intensity may be buried in the tail of the mass peak with the larger signal intensity. . In such cases, locally observed mass peaks do not appear in the average mass spectrum, and as a result, the user may miss important compounds that are unevenly distributed within the measurement region.
  • TOFMS Time-of-flight mass spectrometers
  • the present invention has been made to solve these problems, and one of its purposes is to reliably detect the presence of a relatively small amount of a compound locally present in the measurement area without overlooking the presence of the compound.
  • An object of the present invention is to provide a mass spectrometry data analysis method and an imaging mass spectrometer capable of grasping and confirming an MS imaging image.
  • Another object of the present invention is to provide a mass spectrometry data analysis method and an imaging mass spectrometer that can display an MS imaging image with an m/z value that accurately corresponds to a compound present in the measurement region. That is.
  • a method for mass spectrometry data analysis comprising: an analysis region determination step of determining a plurality of analysis regions each containing a plurality of the micro regions by dividing the measurement region or according to a user's designation of the inside of the measurement region; In each of the plurality of analysis regions, an individual integrated mass spectrum is obtained by averaging or accumulating profile spectra for each microregion based on data obtained for the plurality of microregions included in one analysis region.
  • a spectral calculation step Perform peak detection for each of the plurality of individual integrated mass spectra, collect peak information including at least the mass-to-charge ratio value of the detected peak in each of the plurality of analysis regions, and collect the peak information of the plurality of analysis regions a peak information integration step of collecting peak information and sorting peaks that can be presumed to have substantially the same mass-to-charge ratio values to obtain integrated peak information; an information display step of creating and displaying a peak list or mass spectrum based on the integrated peak information; It has
  • a measurement unit that acquires data by performing mass spectrometry on each of a plurality of minute regions within a measurement region on a sample; an analysis region determination unit that determines a plurality of analysis regions each containing a plurality of the minute regions by dividing the measurement region or according to a user's designation of the inside of the measurement region; A spectrum obtained by averaging or accumulating profile spectra based on data obtained by the measurement unit for a plurality of minute regions included in one analysis region in each of the plurality of analysis regions to obtain an individual integrated mass spectrum.
  • a computing unit Perform peak detection for each of the plurality of individual integrated spectra, collect peak information including at least the mass-to-charge ratio value of the detected peak in each of the plurality of analysis regions, and collect the peak information of the plurality of analysis regions a peak information integration unit that collects peak information, organizes peaks that can be estimated to have substantially the same mass-to-charge ratio value, and obtains integrated peak information;
  • a display processing unit that creates a peak list or mass spectrum based on the integrated peak information and displays it on a display unit; is provided.
  • the profile spectrum is averaged (or integrated) not for the entire measurement area for which data was collected, but for each analysis area that is smaller than that, and integrated peak information is obtained based on the result. Therefore, it is possible to avoid that the peak derived from a compound that is locally present in a relatively small amount in the measurement area is buried in the skirts of other peaks with close m/z values and high intensities. It is possible to provide users with peak lists and mass spectra that accurately reflect the Therefore, according to the above aspect of the present invention, the user can accurately analyze the compound of interest without overlooking the presence of even a small amount of a compound that is locally present in a narrow range within the measurement area. can be done.
  • m/z values corresponding to the masses of a plurality of compounds present in the measurement region with high accuracy can be obtained.
  • a mass spectrum in which peaks are observed can be displayed.
  • the user can observe highly accurate MS imaging images corresponding to each of the plurality of compounds, and can perform more detailed and highly accurate compound distribution analysis than in the past.
  • FIG. 1 is a schematic block configuration diagram of an imaging mass spectrometer that is an embodiment of the present invention
  • FIG. FIG. 4 is an explanatory diagram of a measurement state on a sample in the imaging mass spectrometer of the present embodiment
  • FIG. 4 is a diagram showing an example of distribution of compounds in a measurement region on a sample
  • FIG. 5 is a diagram showing a modification when setting a plurality of analysis regions within a measurement region in the imaging mass spectrometer of the present embodiment;
  • FIG. 1 is a schematic block diagram of the imaging mass spectrometer of this embodiment.
  • the imaging mass spectrometer of this embodiment includes an imaging mass spectrometry unit 1 , a data processing unit 2 , an input unit 3 and a display unit 4 .
  • the imaging mass spectrometry unit 1 is, for example, the measurement unit of an atmospheric pressure MALDI ion trap time-of-flight mass spectrometer (APMALDI-IT-TOFMS).
  • the imaging mass spectrometry unit 1 includes a laser microdissection device as disclosed in Patent Document 2 and a mass spectrometer for mass spectrometry of a sample prepared from a fine sample piece collected from the sample by the device. It may be a device that combines a device and a.
  • the data processing unit 2 mainly has a function of processing a large amount of data obtained by the imaging mass spectrometry unit 1, and includes functional blocks such as a data storage unit 20, a region division unit 21, a profile spectrum creation unit 22, a spectrum average It includes a conversion unit 23, a peak information collection unit 24, a peak information integration unit 25, a peak list display processing unit 26, a peak selection instruction reception unit 27, an MS imaging image creation unit 28, an image display processing unit 29, and the like.
  • the data processing unit 2 is usually configured around a personal computer or a higher performance workstation, and dedicated data processing software (computer program) installed in the computer is Each of the above functional blocks can be embodied by executing on a computer.
  • the input unit 3 is a keyboard or pointing device (such as a mouse) attached to the computer
  • the display unit 4 is a display monitor.
  • the above computer program shall be stored in a non-temporary computer-readable recording medium such as a CD-ROM, DVD-ROM, memory card, USB memory (dongle) and provided to the user. can be done.
  • the program can also be provided to the user in the form of data transfer via a communication line such as the Internet.
  • the program can be pre-installed in a computer that is part of the system (strictly speaking, a storage device that is part of the computer) when the user purchases the system.
  • FIG. 2 is an explanatory diagram of a measurement state by the imaging mass spectrometer 1.
  • FIG. 3 is a diagram showing an example of distribution of compounds in a measurement region on a sample.
  • FIG. 4 is an explanatory diagram of an example of data analysis processing in the imaging mass spectrometer of this embodiment.
  • An object to be measured by the imaging mass spectrometry unit 1 is, for example, a slice sample obtained by thinly slicing a biological tissue such as the brain or internal organs of an experimental animal. Such a sample is placed on a sample plate, the surface of which is coated with a matrix for MALDI, and set at a predetermined position in the imaging mass spectrometry section 1 . As shown in FIG. 2, the imaging mass spectrometry unit 1 performs mass spectrometry on each minute region 102, which is obtained by finely dividing a predetermined measurement region 101 set on a sample 100 in a grid pattern, and performs mass spectrometry on each region. Acquire mass spectral data over a range. The position, size, shape, and the like of the measurement region 101 can usually be appropriately determined by the user through optical microscope observation or the like.
  • the specific analysis operations are as follows.
  • the ion source in the imaging mass spectrometry unit 1 irradiates one minute region 102 with a laser beam for a short period of time to generate ions originating from the compound existing in the minute region 102 .
  • the generated ions are once introduced into the ion trap, sent to a time-of-flight mass separator, separated according to m/z values, and then detected.
  • This detection signal is mass spectrum data corresponding to one minute region 102 .
  • This mass spectrum data is data (profile spectrum data) showing a continuous waveform on the m/z axis, as shown in FIG.
  • MS/MS analysis in which ions having a specific m/z value or contained in an m/z range are dissociated by collision-induced dissociation or the like for analysis instead of normal mass analysis for each minute region 102, or Product ion spectrum data may be obtained by performing MS n analysis where n is 3 or more.
  • a set of mass spectral data in each minute region 102 collected as described above, that is, the MS imaging data for the entire measurement region 101 is transferred from the imaging mass spectrometry unit 1 to the data processing unit 2 and stored in the data storage unit 20. stored once.
  • the data at this time is raw data obtained by mass spectrometry, and data obtained by performing appropriate waveform processing such as predetermined noise removal on the raw data is stored in the data storage unit 20. good too.
  • the data processing unit 2 performs the following processing. Execute.
  • the region dividing unit 21 in the data processing unit 2 performs a process of virtually dividing one measurement region 101 into a plurality of analysis regions 103, as shown in FIG. 4(A).
  • the rectangular measurement area 101 is divided into six, but the number of divisions is not limited to this.
  • the dividing line need not be a straight line.
  • the area of each analysis area 103 after division does not necessarily have to be about the same, it is generally better not to make the difference in area extremely large, and one analysis area 103 is divided into a plurality of minute areas. 102 included.
  • the six analysis regions 103 are denoted by #1, #2, #3, #4, #5, and #6 in order to distinguish them.
  • the profile spectrum creating unit 22 sequentially reads data corresponding to all the minute regions 102 included in the analysis region 103 from the data storage unit 20, and creates profile spectra corresponding to each minute region 102. create.
  • the profile spectrum is a continuous waveform in the m/z axis direction, and compounds existing in the minute region 102 are observed as mountain-like peaks.
  • one average mass spectrum is calculated for the measurement region 101 by averaging all the profile spectra respectively obtained in all the minute regions 102 within the measurement region 101.
  • the spectrum averaging unit 23 performs a process of averaging the profile spectra in all the minute regions 102 included in one analysis region 103 for each analysis region 103. (See FIG. 4B). Therefore, the same number of averaged mass spectra as the number of analysis regions 103, six in this example, are obtained.
  • a relatively high-concentration compound A is present in a relatively wide range within the measurement region 101, while a relatively low-concentration compound B is locally present in a part of the measurement region 101.
  • a relatively low-concentration compound B is locally present in a part of the measurement region 101.
  • the profile spectra in all the minute regions included in the measurement region 101 are averaged, the signal intensity of the peak corresponding to compound B is much lower than the signal intensity of the peak corresponding to compound A, and the m/ If the z-values are close, the peak corresponding to compound B may be buried under the tail of the peak corresponding to compound A.
  • the peak information collecting unit 24 detects peaks in the average mass spectrum for each analysis region 103 according to a predetermined standard (see FIG. 4(C)). Then, information on detected peaks is collected for each analysis region 103 to create a peak list (see FIG. 4(D)).
  • the peak information shall include at least the m/z value of the peak and may include the intensity of the peak.
  • peaks derived from compound B locally contained in a part of the measurement region 101 are also observed, so the peak list corresponding to the analysis region 103 may also include such compound B peak information.
  • the peak information integration unit 25 collects the peak lists of all the analysis regions 103 and integrates the peak information (see FIG. 4(E)). Specifically, for example, the m / z values of all peaks listed in the peak list are arranged in ascending order, and the difference between the m / z values of two or more adjacent peaks is the device used for measurement If the m/z error is within the m/z error determined according to the mass accuracy of , the peaks are integrated assuming that they are derived from the same compound. When integrating multiple peaks with very close m/z values, the m/z value of any one of the multiple peaks before integration may be used as the m/z value of the peak after integration. Alternatively, an m/z value obtained by a predetermined calculation from the m/z values of a plurality of peaks before integration may be used as the m/z value of the peak after integration.
  • the peak information integration unit 25 creates an organized peak list for the entire measurement region 101 by integrating all the peaks that can be integrated as described above (see FIG. 4(F)). Peak information corresponding to compounds widely distributed within the measurement region 101, such as compound A shown in FIG. Although the peak information may differ slightly between analysis regions 103, the differences should be within the mass accuracy error of the instrument, so the peaks are integrated. On the other hand, as for compound B shown in FIG. 3, peak information corresponding to compounds locally distributed within the measurement region 101 is listed only in the peak list corresponding to one analysis region 103, but this is also integrated. will be reflected in the peak list.
  • the peak list display processing unit 26 displays on the screen of the display unit 4 the peak list for the entire measurement region 1 created as described above.
  • the peak list display processing unit 26 may create a mass spectrum (hereinafter referred to as an integrated mass spectrum) based on the peak list created as described above, and display this integrated mass spectrum (FIG. 4 (G)).
  • the user confirms the displayed peak list or integrated mass spectrum on the screen, and selects, for example, a desired peak on the peak list or integrated mass spectrum by designating the input unit 3 .
  • the peak selection instruction receiving unit 27 recognizes the instructed peak and determines the m/z value associated with the peak.
  • the MS imaging image creation unit 28 reads out the signal intensity value for each minute area 102 corresponding to the determined m/z value from the data storage unit 20, and creates an MS imaging image.
  • the image display processing section 29 displays the created MS imaging image on the screen of the display section 4 .
  • the MS imaging image is displayed in the same screen as the above peak list or integrated mass spectrum, and when the user changes the peak indicated on the peak list or integrated mass spectrum, the indication changes (indicated m/z value change), the displayed MS imaging image can be rapidly updated.
  • the peak list and/or An integrated mass spectrum can be presented to the user.
  • the user can appropriately select the peak corresponding to the compound of interest on the integrated mass spectrum and confirm the MS imaging image showing the distribution of the compound with high accuracy.
  • the region dividing unit 21 automatically divides the measurement region 101 into a plurality of regions according to a predetermined rule, but the user may set the rule as appropriate.
  • the region dividing unit 21 instead of dividing the entire measurement region 101, for example, only a specific range specified by the user in the measurement region 101 is divided to define a plurality of analysis regions, and the plurality of analysis regions are described above. Such processing may be implemented.
  • FIG. 5 is a diagram showing a modification when setting a plurality of analysis regions in the measurement region 101 by manual operation.
  • the area dividing unit 21 displays an optical microscope image of the entire measurement area 101, and accepts designation of a plurality of analysis areas by the user on the display screen.
  • four analysis areas 104A-104D are specified.
  • the shape of each analysis region is rectangular here, it is not limited to this. Its size, position and number are also arbitrary.
  • the analysis areas 104A to 104D thus specified can be treated as they are in the same manner as the analysis areas after being automatically divided, and the processing can proceed.
  • a specific site biological tissue, lesion site, etc.
  • the imaging mass spectrometer 1 uses a time-of-flight mass separator as a mass separator. It is preferable to use a mass separator having Specifically, in addition to various time-of-flight mass spectrometers, a Fourier transform mass spectrometer using a Fourier transform ion cyclotron resonance mass separator, an orbitrap mass separator, or the like is useful. Also, the ion source in the imaging mass spectrometry unit 1 is not limited to the atmospheric pressure MALDI ion source, and an ion source based on any ionization method can be used.
  • the imaging mass spectrometry unit 1 does not perform mass spectrometry while sequentially scanning the microregions 102 set within the measurement region 101 on the sample 100, but simultaneously performs mass spectrometry on a large number of microregions.
  • the projection type (or projection type) imaging mass spectrometry to be performed may be performed.
  • the imaging mass spectrometry unit 1 physically cuts out fine sample pieces from each minute region 102 in the measurement region 101 by a technique such as laser microdissection, and prepares a liquid sample from each sample piece. Data may be obtained by mass spectrometry. In other words, any measurement method may be used as long as mass spectrum data in a predetermined m/z range in each minute region 102 within the measurement region 101 can be obtained.
  • One aspect of the mass spectrometry data analysis method is mass spectrometry data analysis of analyzing data obtained by performing mass spectrometry on each of a plurality of microregions within a measurement region on a sample.
  • a method an analysis region determination step of determining a plurality of analysis regions each containing a plurality of the micro regions by dividing the measurement region or according to a user's designation of the inside of the measurement region;
  • an individual integrated mass spectrum is obtained by averaging or accumulating profile spectra for each microregion based on data obtained for the plurality of microregions included in one analysis region.
  • a spectral calculation step Perform peak detection for each of the plurality of individual integrated mass spectra, collect peak information including at least the mass-to-charge ratio value of the detected peak in each of the plurality of analysis regions, and collect the peak information of the plurality of analysis regions a peak information integration step of collecting peak information and sorting peaks that can be presumed to have substantially the same mass-to-charge ratio values to obtain integrated peak information; an information display step of creating and displaying a peak list or mass spectrum based on the integrated peak information; have
  • One aspect of the imaging mass spectrometer according to the present invention is a measurement unit that acquires data by performing mass spectrometry on each of a plurality of minute regions within a measurement region on a sample; an analysis region determination unit that determines a plurality of analysis regions each containing a plurality of the minute regions by dividing the measurement region or according to a user's designation of the inside of the measurement region; A spectrum obtained by averaging or accumulating profile spectra based on data obtained by the measurement unit for a plurality of minute regions included in one analysis region in each of the plurality of analysis regions to obtain an individual integrated mass spectrum.
  • a computing unit Perform peak detection for each of the plurality of individual integrated spectra, collect peak information including at least the mass-to-charge ratio value of the detected peak in each of the plurality of analysis regions, and collect the peak information of the plurality of analysis regions a peak information integration unit that collects peak information, organizes peaks that can be estimated to have substantially the same mass-to-charge ratio value, and obtains integrated peak information;
  • a display processing unit that creates a peak list or mass spectrum based on the integrated peak information and displays it on a display unit; Prepare.
  • the profile spectrum is averaged for each analysis area that is smaller than the entire measurement area where data is collected. Then, based on the result, integrated peak information is obtained. Therefore, it is possible to avoid that the peak derived from a compound that is locally present in a relatively small amount in the measurement area is buried in the skirts of other peaks with close m/z values and high intensities. It is possible to provide users with peak lists and mass spectra that accurately reflect the Therefore, according to the above aspect of the present invention, the user can accurately analyze the compound of interest without overlooking the presence of even a small amount of a compound that is locally present in a narrow range within the measurement area. can be done.
  • the mass spectrometry data analysis method described in item 1 and the imaging mass spectrometer described in item 4 while taking advantage of the high mass accuracy of the mass spectrometer used for measurement, It is possible to display a mass spectrum in which peaks with m/z values corresponding to the masses of multiple existing compounds are observed with high accuracy. As a result, the user can observe highly accurate MS imaging images corresponding to each of the plurality of compounds, and can perform more detailed and highly accurate compound distribution analysis than in the past.
  • a peak selection acceptance step of accepting a user's instruction to select a peak on the peak list or mass spectrum displayed by the information display step; an image creation step of creating a mass spectrometry imaging image corresponding to the indicated peak; can further have
  • the user can specify a specific peak based on this peak list or mass spectrum and display the MS imaging image, so the distribution of the target compound can be displayed with high accuracy.
  • the user can confirm the distribution of the compound by the MS imaging image without overlooking even the compound that is locally present in the measurement area in a small amount.

Landscapes

  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Health & Medical Sciences (AREA)
  • Electrochemistry (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
PCT/JP2021/037385 2021-10-08 2021-10-08 質量分析データ解析方法及びイメージング質量分析装置 Ceased WO2023058234A1 (ja)

Priority Applications (3)

Application Number Priority Date Filing Date Title
PCT/JP2021/037385 WO2023058234A1 (ja) 2021-10-08 2021-10-08 質量分析データ解析方法及びイメージング質量分析装置
JP2023552664A JP7622864B2 (ja) 2021-10-08 2021-10-08 質量分析データ解析方法及びイメージング質量分析装置
US18/691,405 US20240387158A1 (en) 2021-10-08 2021-10-08 Mass Spectrometry Data Analysis Method and Imaging Mass Spectrometer

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2021/037385 WO2023058234A1 (ja) 2021-10-08 2021-10-08 質量分析データ解析方法及びイメージング質量分析装置

Publications (1)

Publication Number Publication Date
WO2023058234A1 true WO2023058234A1 (ja) 2023-04-13

Family

ID=85804074

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2021/037385 Ceased WO2023058234A1 (ja) 2021-10-08 2021-10-08 質量分析データ解析方法及びイメージング質量分析装置

Country Status (3)

Country Link
US (1) US20240387158A1 (https=)
JP (1) JP7622864B2 (https=)
WO (1) WO2023058234A1 (https=)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2026013998A1 (ja) * 2024-07-08 2026-01-15 株式会社島津製作所 イメージング分析データ解析方法及びイメージング分析システム

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012247198A (ja) * 2011-05-25 2012-12-13 Shimadzu Corp 質量分析データ解析方法及び解析装置
US20150348767A1 (en) * 2014-06-02 2015-12-03 Thermo Fisher Scientific (Bremen) Gmbh Imaging Mass Spectrometry Method and Device
WO2019229902A1 (ja) * 2018-05-30 2019-12-05 株式会社島津製作所 イメージング質量分析データ処理装置
WO2020026353A1 (ja) * 2018-07-31 2020-02-06 株式会社島津製作所 質量分析装置、質量分析方法および質量分析プログラム
JP2020115117A (ja) * 2019-01-18 2020-07-30 日本電子株式会社 マススペクトル処理装置及び方法
US10877040B1 (en) * 2016-10-28 2020-12-29 Frontier Diagnostics, Llc Imaging mass spectrometry and uses thereof

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5348029B2 (ja) * 2010-03-16 2013-11-20 株式会社島津製作所 質量分析データ処理方法及び装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012247198A (ja) * 2011-05-25 2012-12-13 Shimadzu Corp 質量分析データ解析方法及び解析装置
US20150348767A1 (en) * 2014-06-02 2015-12-03 Thermo Fisher Scientific (Bremen) Gmbh Imaging Mass Spectrometry Method and Device
US10877040B1 (en) * 2016-10-28 2020-12-29 Frontier Diagnostics, Llc Imaging mass spectrometry and uses thereof
WO2019229902A1 (ja) * 2018-05-30 2019-12-05 株式会社島津製作所 イメージング質量分析データ処理装置
WO2020026353A1 (ja) * 2018-07-31 2020-02-06 株式会社島津製作所 質量分析装置、質量分析方法および質量分析プログラム
JP2020115117A (ja) * 2019-01-18 2020-07-30 日本電子株式会社 マススペクトル処理装置及び方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2026013998A1 (ja) * 2024-07-08 2026-01-15 株式会社島津製作所 イメージング分析データ解析方法及びイメージング分析システム

Also Published As

Publication number Publication date
JP7622864B2 (ja) 2025-01-28
US20240387158A1 (en) 2024-11-21
JPWO2023058234A1 (https=) 2023-04-13

Similar Documents

Publication Publication Date Title
JP4952788B2 (ja) 質量分析データ解析方法及び装置
JP6569805B2 (ja) イメージング質量分析装置
CN109642890B (zh) 成像质谱分析数据处理装置及方法
WO2018042605A1 (ja) 質量分析データ処理装置
US20240321565A1 (en) Processing of spatially resolved, ion-spectrometric measurement signal data to determine molecular content scores in two-dimensional samples
JP2012517588A (ja) 質量分析方法
JP6179600B2 (ja) 質量分析データ解析装置
US20210020420A1 (en) Imaging mass spectrometric data analyzer
JP7622864B2 (ja) 質量分析データ解析方法及びイメージング質量分析装置
CN112204388B (zh) 谱数据处理装置以及分析装置
JP6973640B2 (ja) イメージング質量分析データ処理装置
JP7001157B2 (ja) イメージング質量分析データ処理装置
JPWO2007116509A1 (ja) 質量分析装置
US11380532B2 (en) Method for imaging mass spectrometry and imaging mass spectrometer
CN113518919A (zh) 成像质量分析装置
WO2022003890A1 (ja) イメージング質量分析装置及びイメージング質量分析データ処理方法
JP7413775B2 (ja) イメージング分析データ処理方法及び装置
US12444481B2 (en) Data-analyzing method, data-analyzing device, and sample analyzer
JP7582493B2 (ja) 質量分析データ解析方法及びイメージング質量分析装置
EP4679078A1 (en) Analysis method employing imaging mass spectrometry
WO2020166008A1 (ja) イメージング分析装置
WO2026013998A1 (ja) イメージング分析データ解析方法及びイメージング分析システム
CN113508293A (zh) 成像质量分析装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21959973

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 2023552664

Country of ref document: JP

WWE Wipo information: entry into national phase

Ref document number: 18691405

Country of ref document: US

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21959973

Country of ref document: EP

Kind code of ref document: A1