2005
DOI: 10.1002/jms.735
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Subcellular imaging mass spectrometry of brain tissue

Abstract: Imaging mass spectrometry provides both chemical information and the spatial distribution of each analyte detected. Here it is demonstrated how imaging mass spectrometry of tissue at subcellular resolution can be achieved by combining the high spatial resolution of secondary ion mass spectrometry (SIMS) with the sample preparation protocols of matrix-assisted laser desorption/ionization (MALDI). Despite mechanistic differences and sampling 10(5) times less material, matrix-enhanced (ME)-SIMS of tissue samples … Show more

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Cited by 166 publications
(158 citation statements)
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“…Very high spatial resolution is obtained using SIMS (pixel size Ͻ1 m) [19], however its sensitivity rapidly decreases with increasing mass, making the technique less suited for protein analysis. Surface modification techniques such as metal assisted SIMS or matrix enhanced SIMS can be used to extend the useable mass range to small peptides and proteins [14,[21][22][23][24][25][26][27][28][29][30].…”
mentioning
confidence: 99%
“…Very high spatial resolution is obtained using SIMS (pixel size Ͻ1 m) [19], however its sensitivity rapidly decreases with increasing mass, making the technique less suited for protein analysis. Surface modification techniques such as metal assisted SIMS or matrix enhanced SIMS can be used to extend the useable mass range to small peptides and proteins [14,[21][22][23][24][25][26][27][28][29][30].…”
mentioning
confidence: 99%
“…Any such variation (including a localized protrusion) can be readily identified by calculating the variation of an ion's mass with position (a so-called height map) [4,15]. This height map can be used to correct the mass measurements but cannot remove any ionization artifacts.…”
Section: Discussionmentioning
confidence: 99%
“…This is accomplished by rastering the sample, followed by a high-resolution scan of selected areas. This approach of combining ionization beam and sample stage rastering has been developed further to provide high-resolution imaging of large areas: in mosaic mode imaging the sample is divided into a mosaic of small areas (termed tiles) with the sample stage raster; each tile is then analyzed with high spatial resolution using ion beam rastering and the results are combined to provide the final, complete (mosaic) dataset [2][3][4]10].Mosaic mode image (high-resolution imaging of large areas) has been limited by the user-intensive nature of data analysis. The accuracy of sample stages capable of moving through large areas (e.g., 5 ϫ 5 cm) are often significantly less than the resolution of the SIMS imaging mass spectrometry experiment, for example, 5 and 0.2 m, respectively.…”
mentioning
confidence: 99%
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