Literature DB >> 21063949

imzML: Imaging Mass Spectrometry Markup Language: A common data format for mass spectrometry imaging.

Andreas Römpp1, Thorsten Schramm, Alfons Hester, Ivo Klinkert, Jean-Pierre Both, Ron M A Heeren, Markus Stöckli, Bernhard Spengler.   

Abstract

Imaging mass spectrometry is the method of scanning a sample of interest and generating an "image" of the intensity distribution of a specific analyte. The data sets consist of a large number of mass spectra which are usually acquired with identical settings. Existing data formats are not sufficient to describe an MS imaging experiment completely. The data format imzML was developed to allow the flexible and efficient exchange of MS imaging data between different instruments and data analysis software.For this purpose, the MS imaging data is divided in two separate files. The mass spectral data is stored in a binary file to ensure efficient storage. All metadata (e.g., instrumental parameters, sample details) are stored in an XML file which is based on the standard data format mzML developed by HUPO-PSI. The original mzML controlled vocabulary was extended to include specific parameters of imaging mass spectrometry (such as x/y position and spatial resolution). The two files (XML and binary) are connected by offset values in the XML file and are unambiguously linked by a universally unique identifier. The resulting datasets are comparable in size to the raw data and the separate metadata file allows flexible handling of large datasets.Several imaging MS software tools already support imzML. This allows choosing from a (growing) number of processing tools. One is no longer limited to proprietary software, but is able to use the processing software which is best suited for a specific question or application. On the other hand, measurements from different instruments can be compared within one software application using identical settings for data processing. All necessary information for evaluating and implementing imzML can be found at http://www.imzML.org .

Mesh:

Year:  2011        PMID: 21063949     DOI: 10.1007/978-1-60761-987-1_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  19 in total

1.  Automatic 3D Nonlinear Registration of Mass Spectrometry Imaging and Magnetic Resonance Imaging Data.

Authors:  Walid M Abdelmoula; Michael S Regan; Begona G C Lopez; Elizabeth C Randall; Sean Lawler; Ann C Mladek; Michal O Nowicki; Bianca M Marin; Jeffrey N Agar; Kristin R Swanson; Tina Kapur; Jann N Sarkaria; William Wells; Nathalie Y R Agar
Journal:  Anal Chem       Date:  2019-04-22       Impact factor: 6.986

2.  Mirion--a software package for automatic processing of mass spectrometric images.

Authors:  C Paschke; A Leisner; A Hester; K Maass; S Guenther; W Bouschen; B Spengler
Journal:  J Am Soc Mass Spectrom       Date:  2013-06-13       Impact factor: 3.109

3.  Beyond the H&E: Advanced Technologies for in situ Tissue Biomarker Imaging.

Authors:  Lauren E Himmel; Troy A Hackett; Jessica L Moore; Wilson R Adams; Giju Thomas; Tatiana Novitskaya; Richard M Caprioli; Andries Zijlstra; Anita Mahadevan-Jansen; Kelli L Boyd
Journal:  ILAR J       Date:  2018-12-01

Review 4.  Probing neuropeptide signaling at the organ and cellular domains via imaging mass spectrometry.

Authors:  Hui Ye; Tyler Greer; Lingjun Li
Journal:  J Proteomics       Date:  2012-03-20       Impact factor: 4.044

Review 5.  Applications and continued evolution of glycan imaging mass spectrometry.

Authors:  Colin T McDowell; Xiaowei Lu; Anand S Mehta; Peggi M Angel; Richard R Drake
Journal:  Mass Spectrom Rev       Date:  2021-08-15       Impact factor: 10.946

6.  Analyzing the Distribution of Specialized Metabolites from Plant Native Tissues with Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging.

Authors:  Abigail Moreno-Pedraza; Nancy Shyrley Garcia-Rojas; Robert Winkler
Journal:  Methods Mol Biol       Date:  2022

7.  The Need for Speed in Matrix-Assisted Laser Desorption/Ionization Imaging Mass Spectrometry.

Authors:  Boone M Prentice; Richard M Caprioli
Journal:  Postdoc J       Date:  2016-03

8.  Numerical compression schemes for proteomics mass spectrometry data.

Authors:  Johan Teleman; Andrew W Dowsey; Faviel F Gonzalez-Galarza; Simon Perkins; Brian Pratt; Hannes L Röst; Lars Malmström; Johan Malmström; Andrew R Jones; Eric W Deutsch; Fredrik Levander
Journal:  Mol Cell Proteomics       Date:  2014-03-27       Impact factor: 5.911

Review 9.  Controlled vocabularies and ontologies in proteomics: overview, principles and practice.

Authors:  Gerhard Mayer; Andrew R Jones; Pierre-Alain Binz; Eric W Deutsch; Sandra Orchard; Luisa Montecchi-Palazzi; Juan Antonio Vizcaíno; Henning Hermjakob; David Oveillero; Randall Julian; Christian Stephan; Helmut E Meyer; Martin Eisenacher
Journal:  Biochim Biophys Acta       Date:  2013-02-19

10.  Contrast optimization of mass spectrometry imaging (MSI) data visualization by threshold intensity quantization (TrIQ).

Authors:  Ignacio Rosas-Román; Robert Winkler
Journal:  PeerJ Comput Sci       Date:  2021-06-09
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.