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Title: Advances in imaging secondary ion mass spectrometry for biological samples

Imaging mass spectrometry combines the power of mass spectrometry to identify complex molecules based on mass with sample imaging. Recent advances in secondary ion mass spectrometry have improved sensitivity and spatial resolution, so that these methods have the potential to bridge between high-resolution structures obtained by X-ray crystallography and cyro-electron microscopy and ultrastructure visualized by conventional light microscopy. Following background information on the method and instrumentation, we address the key issue of sample preparation. Because mass spectrometry is performed in high vacuum, it is essential to preserve the lateral organization of the sample while removing bulk water, and this has been a major barrier for applications to biological systems. Furthermore, recent applications of imaging mass spectrometry to cell biology, microbial communities, and biosynthetic pathways are summarized briefly, and studies of biological membrane organization are described in greater depth.
Authors:
 [1] ;  [2] ;  [3]
  1. Stanford Univ., Stanford, CA (United States). Dept. of Chemistry
  2. Univ. of Illinois, Urbana-Champaign, Urbana, IL (United States). Dept of Chemical and Biomolecular Engineering
  3. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Glenn T. Seaborg Institute
Publication Date:
OSTI Identifier:
1305904
Report Number(s):
LLNL-JRNL--408214
Journal ID: ISSN 1936-122X
Grant/Contract Number:
AC52-07NA27344
Type:
Accepted Manuscript
Journal Name:
Annual Review of Biophysics
Additional Journal Information:
Journal Volume: 38; Journal Issue: 1; Journal ID: ISSN 1936-122X
Publisher:
Annual Reviews
Research Org:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 37 INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY membrane organization; chemical composition imaging; NanoSIMS; ToF-SIMS; dynamic SIMS