ArticlePloS one2012
Segmentation of multi-isotope imaging mass spectrometry data for semi-automatic detection of regions of interest.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Reciprocal transport of carbon and nitrogen between plants and the hyphosphere microbiome in a temperate grassland.The New phytologist · 2026Article
- Electrosynthetic bacterial growth under conditions simulating electric discharge in deep-sea hydrothermal fields.The ISME journal · 2026Article
- Oxic Subseafloor Microbial Communities Retain Anabolic Capacity under both Oxic and Oxygen-depleted Conditions.Microbes and environments · 2026Article
- Increased Retention of Litter-Derived Organic Carbon With Increasing Initial Carbon Content in Temperate Agricultural Soils.Global change biology · 2025Article
- Physiological basis for atmospheric methane oxidation and methanotrophic growth on air.Nature communications · 2024Article
- Lithium isotopes differentially modify mitochondrial amorphous calcium phosphate cluster size distribution and calcium capacity.Frontiers in physiology · 2023Article
- Depth correction of 3D NanoSIMS images using secondary electron pixel intensities.Biointerphases · 2021Article
- Contrast optimization of mass spectrometry imaging (MSI) data visualization by threshold intensity quantization (TrIQ).PeerJ. Computer science · 2021Article
- Aerobic microbial life persists in oxic marine sediment as old as 101.5 million years.Nature communications · 2020Article
- Zinc and Cadmium Mapping in the Apical Shoot and Hypocotyl Tissues of Radish by High-Resolution Secondary Ion Mass Spectrometry (NanoSIMS) after Short-Term Exposure to Metal Contamination.International journal of environmental research and public health · 2019Article
- Microbial Metabolism and Community Dynamics in Hydraulic Fracturing Fluids Recovered From Deep Hydrocarbon-Rich Shale.Frontiers in microbiology · 2019Article
- Biodegradation of synthetic polymers in soils: Tracking carbon into COScience advances · 2018Article
- Mass Spectrometry Imaging: A Review of Emerging Advancements and Future Insights.Analytical chemistry · 2018Review
- Quantifying element incorporation in multispecies biofilms using nanoscale secondary ion mass spectrometry image analysis.Biointerphases · 2016Article
- Heavy water and (15) N labelling with NanoSIMS analysis reveals growth rate-dependent metabolic heterogeneity in chemostats.Environmental microbiology · 2015Article
- Effect of an anti-depressant on mouse hippocampus protein turnover using MIMS.Surface and interface analysis : SIA · 2014Article
- Microscale sulfur cycling in the phototrophic pink berry consortia of the Sippewissett Salt Marsh.Environmental microbiology · 2014Article
- Secondary ion mass spectrometry imaging of Dictyostelium discoideum aggregation streams.PloS one · 2014Article
- Quantitative imaging of subcellular metabolism with stable isotopes and multi-isotope imaging mass spectrometry.Seminars in cell & developmental biologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Multi-isotope imaging mass spectrometry (MIMS) associates secondary ion mass spectrometry (SIMS) with detection of several atomic masses, the use of stable isotopes as labels, and affiliated quantitative image-analysis software. By associating image and measure, MIMS allows one to obtain quantitative information about biological processes in sub-cellular domains. MIMS can be applied to a wide range of biomedical problems, in particular metabolism and cell fate [1], [2], [3]. In order to obtain morphologically pertinent data from MIMS images, we have to define regions of interest (ROIs). ROIs are drawn by hand, a tedious and time-consuming process. We have developed and successfully applied a support vector machine (SVM) for segmentation of MIMS images that allows fast, semi-automatic boundary detection of regions of interests. Using the SVM, high-quality ROIs (as compared to an expert's manual delineation) were obtained for 2 types of images derived from unrelated data sets. This automation simplifies, accelerates and improves the post-processing analysis of MIMS images. This approach has been integrated into "Open MIMS," an ImageJ-plugin for comprehensive analysis of MIMS images that is available online at http://www.nrims.hms.harvard.edu/NRIMS_ImageJ.php.
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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.