Data Processing for 3D Mass Spectrometry Imaging

Overview

Journal J Am Soc Mass Spectrom

Specialty Chemistry

Date 2012 Mar 7

PMID 22392622

Citations 14

Authors

Xingchuang Xiong

Wei Xu

Livia S Eberlin

Justin M Wiseman

Xiang Fang

You Jiang

Zejian Huang

Yukui Zhang

R Graham Cooks

Zheng Ouyang

Affiliations

Soon will be listed here.

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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