• DocumentCode
    2109783
  • Title

    Visualization of high resolution spatial mass spectrometric data during acquisition

  • Author

    Thomas, Martyn ; Heath, B.S. ; Laskin, J. ; Dongsheng Li ; Liu, Erwu ; Hui, K. ; Kuprat, Andrew P. ; Kleese van Dam, Kerstin ; Carson, James P.

  • Author_Institution
    Pacific Northwest Nat. Lab., Richland, WA, USA
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    5545
  • Lastpage
    5548
  • Abstract
    Mass Spectrometric Imaging (MSI) allows the generation of 2D ion density maps that help visualize molecules present in sections of tissues and cells. The combination of spatial resolution and mass resolution results in very large and complex data sets. New capabilities are necessary for efficient analysis and interpretation of this data. This work details the development and application of the capability to process, visualize, query, and analyze spatial mass spectrometry data. Applications include the generation of 2D maps for selected spectra, the manipulation of the heat maps, and the identification of spectral peaks. Heat maps are generated by projecting the sum of intensity vs. time spectra of each pixel for selected m/z value or range. These capabilities take the form of a new interactive software toolkit, MSI QuickView. This software approach is a significant advance over the previous state-of-the art methods that required the conversion of the RAW data using one software, manual assembly of the data, and visualization in another software.
  • Keywords
    biological tissues; biology computing; cellular biophysics; data acquisition; data visualisation; mass spectra; query processing; 2D ion density map; MSI QuickView; RAW data; data acquisition; heat map; high resolution spatial mass spectrometric data visualization; interactive software toolkit; mass resolution; mass spectrometric imaging; spatial resolution; Data visualization; Heating; Imaging; MATLAB; Mass spectroscopy; Principal component analysis; Automation; Humans; Mass Spectrometry; Principal Component Analysis; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6347250
  • Filename
    6347250