title: Deblurring molecular images using desorption electrospray ionization mass spectrometry.
abstract: Traditional imaging techniques for studying the spatial distribution of biological molecules such as proteins, metabolites, and lipids, require the a priori selection of a handful of target molecules. Imaging mass spectrometry provides a means to analyze thousands of molecules at a time within a tissue sample, adding spatial detail to proteomic, metabolomic, and lipidomic studies. Compared to traditional microscopic images, mass spectrometric images have reduced spatial resolution and require a destructive acquisition process. In order to increase spatial detail, we propose a constrained acquisition path and signal degradation model enabling the use of a general image deblurring algorithm. Our analysis shows the potential of this approach and supports prior observations that the effect of the sprayer focuses on a central region much smaller than the extent of the spray.
authors: Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA. parry@bme.gatech.edu
authors: R
authors: R
authors: Parry
authors: Asiri S
authors: AS
authors: Galhena
authors: Facundo M
authors: FM
authors: Fernandez
authors: May D
authors: MD
authors: Wang
mesh_terms: D000962:Antimalarials / Q000032:analysis; D037621:Artemisinins / Q000032:analysis; D000077332:Artesunate; D057054:Molecular Imaging / Q000379:methods*; D021241:Spectrometry, Mass, Electrospray Ionization / Q000379:methods*; D013607:Tablets
chemical_list: D000962:Antimalarials; D037621:Artemisinins; D013607:Tablets; D000077332:Artesunate