| Title |
Data Processing for 3D Mass Spectrometry Imaging
|
|---|---|
| Published in |
Journal of the American Society for Mass Spectrometry, March 2012
|
| DOI | 10.1007/s13361-012-0361-7 |
| Pubmed ID | |
| Authors |
Xingchuang Xiong, Wei Xu, Livia S. Eberlin, Justin M. Wiseman, Xiang Fang, You Jiang, Zejian Huang, Yukui Zhang, R. Graham Cooks, Zheng Ouyang |
| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 66 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 22% |
| Researcher | 15 | 22% |
| Professor | 8 | 12% |
| Student > Master | 7 | 10% |
| Student > Doctoral Student | 6 | 9% |
| Other | 10 | 15% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 17 | 25% |
| Agricultural and Biological Sciences | 12 | 18% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Computer Science | 6 | 9% |
| Medicine and Dentistry | 6 | 9% |
| Other | 9 | 13% |
| Unknown | 11 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 March 2012.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#2,723
of 3,834 outputs
Outputs of similar age
#110,310
of 168,195 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#16
of 48 outputs
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