Data Processing for 3D Mass Spectrometry Imaging |
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| Authors: | Xingchuang Xiong Wei Xu Livia S Eberlin Justin M Wiseman Xiang Fang You Jiang Zejian Huang Yukui Zhang R Graham Cooks Zheng Ouyang |
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| Institution: | (1) School of Life Science, Beijing Institute of Technology, Beijing, China;(2) National Institute of Metrology Beijing, Beijing, China;(3) Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA;(4) Department of Chemistry, Purdue University, West Lafayette, IN, USA;(5) Department of Chemistry and Chemical Biology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA |
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| Abstract: | Data processing for three dimensional mass spectrometry (3D-MS) imaging was investigated, starting with a consideration of
the challenges in its practical implementation using a series of sections of a tissue volume. The technical issues related
to data reduction, 2D imaging data alignment, 3D visualization, and statistical data analysis were identified. Software solutions
for these tasks were developed using functions in MATLAB. Peak detection and peak alignment were applied to reduce the data
size, while retaining the mass accuracy. The main morphologic features of tissue sections were extracted using a classification
method for data alignment. Data insertion was performed to construct a 3D data set with spectral information that can be used
for generating 3D views and for data analysis. The imaging data previously obtained for a mouse brain using desorption electrospray
ionization mass spectrometry (DESI-MS) imaging have been used to test and demonstrate the new methodology. |
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