ArticleJournal of the American Society for Mass Spectrometry2014
Improving secondary ion mass spectrometry image quality with image fusion.
Article in Journal of the American Society for Mass Spectrometry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Imaging and spatially resolved mass spectrometry applications in nephrology.Nature reviews. Nephrology · 2025Review
- Nanoscale bond-selective imaging by computational fusion of atomic force microscopy and coherent anti-Stokes Raman scattering microscopy.The Analyst · 2023Article
- Emerging Computational Methods in Mass Spectrometry Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- Developing a Drug Screening Platform: MALDI-Mass Spectrometry Imaging of Paper-Based Cultures.Analytical chemistry · 2019Article
- Multimodal Chemical Analysis of the Brain by High Mass Resolution Mass Spectrometry and Infrared Spectroscopic Imaging.Analytical chemistry · 2018Article
- Multimodal image fusion with SIMS: Preprocessing with image registration.Biointerphases · 2016Article
- The Need for Speed in Matrix-Assisted Laser Desorption/Ionization Imaging Mass Spectrometry.Postdoc journal : a journal of postdoctoral research and postdoctoral affairs · 2016Article
- Probe-based mass spectrometry approaches for single-cell and single-organelle measurements.Mass spectrometry reviewsReview
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The spatial resolution of chemical images acquired with cluster secondary ion mass spectrometry (SIMS) is limited not only by the size of the probe utilized to create the images but also by detection sensitivity. As the probe size is reduced to below 1 μm, for example, a low signal in each pixel limits lateral resolution because of counting statistics considerations. Although it can be useful to implement numerical methods to mitigate this problem, here we investigate the use of image fusion to combine information from scanning electron microscope (SEM) data with chemically resolved SIMS images. The advantage of this approach is that the higher intensity and, hence, spatial resolution of the electron images can help to improve the quality of the SIMS images without sacrificing chemical specificity. Using a pan-sharpening algorithm, the method is illustrated using synthetic data, experimental data acquired from a metallic grid sample, and experimental data acquired from a lawn of algae cells. The results show that up to an order of magnitude increase in spatial resolution is possible to achieve. A cross-correlation metric is utilized for evaluating the reliability of the procedure.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.