Ionic Matrix for Enhanced MALDI Imaging Mass Spectrometry for Identification of Phospholipids in Mouse Liver and Cerebellum Tissue Sections

2010 ◽  
Vol 82 (21) ◽  
pp. 8800-8806 ◽  
Author(s):  
Kamlesh Shrivas ◽  
Takahiro Hayasaka ◽  
Naoko Goto-Inoue ◽  
Yuki Sugiura ◽  
Nobuhiro Zaima ◽  
...  
2013 ◽  
Vol 48 (1) ◽  
pp. 42-48 ◽  
Author(s):  
Aurélien Thomas ◽  
Nathan Heath Patterson ◽  
Jade Laveaux Charbonneau ◽  
Pierre Chaurand

2008 ◽  
Vol 19 (8) ◽  
pp. 1069-1077 ◽  
Author(s):  
Erin H. Seeley ◽  
Stacey R. Oppenheimer ◽  
Deming Mi ◽  
Pierre Chaurand ◽  
Richard M. Caprioli

2012 ◽  
Vol 9 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Dennis Trede ◽  
Jan Hendrik Kobarg ◽  
Janina Oetjen ◽  
Herbert Thiele ◽  
Peter Maass ◽  
...  

Summary In the last decade, matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS), also called as MALDI-imaging, has proven its potential in proteomics and was successfully applied to various types of biomedical problems, in particular to histopathological label-free analysis of tissue sections. In histopathology, MALDI-imaging is used as a general analytic tool revealing the functional proteomic structure of tissue sections, and as a discovery tool for detecting new biomarkers discriminating a region annotated by an experienced histologist, in particular, for cancer studies.A typical MALDI-imaging data set contains 108 to 109 intensity values occupying more than 1 GB. Analysis and interpretation of such huge amount of data is a mathematically, statistically and computationally challenging problem. In this paper we overview some computational methods for analysis of MALDI-imaging data sets. We discuss the importance of data preprocessing, which typically includes normalization, baseline removal and peak picking, and hightlight the importance of image denoising when visualizing IMS data.


2007 ◽  
Vol 260 (2-3) ◽  
pp. 203-211 ◽  
Author(s):  
A.F. Maarten Altelaar ◽  
Ioana M. Taban ◽  
Liam A. McDonnell ◽  
Peter D.E.M. Verhaert ◽  
Robert P.J. de Lange ◽  
...  

Author(s):  
Laura K. Schnackenberg ◽  
David A. Thorn ◽  
Dustyn Barnette ◽  
E. Ellen Jones

Peptides ◽  
2017 ◽  
Vol 87 ◽  
pp. 20-27 ◽  
Author(s):  
Erik Bivehed ◽  
Robert Strömvall ◽  
Jonas Bergquist ◽  
Georgy Bakalkin ◽  
Malin Andersson

2009 ◽  
Vol 281 (1-2) ◽  
pp. 41-51 ◽  
Author(s):  
Hui Qiao ◽  
Gamini Piyadasa ◽  
Victor Spicer ◽  
Werner Ens

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