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After several decades of widespread use for mapping elemental ions and small molecular fragments in surface science, secondary ion mass spectrometry (SIMS) has emerged as a powerful analytical tool for molecular imaging in biology. Biomolecular SIMS imaging has primarily been used as a qualitative technique; although the distribution of a single analyte can be accurately determined, it is difficult to map the absolute quantity of a compound or even to compare the relative abundance of one molecular species to that of another. We describe a method for quantitative SIMS imaging of small molecules in agar-based microbial communities. The microbes are cultivated on a thin film of agar, dried under nitrogen, and imaged directly with SIMS. By use of optical microscopy, we show that the area of the agar is reduced by 26 ± 2% (standard deviation) during dehydration, but the overall biofilm morphology and analyte distribution are largely retained. We detail a quantitative imaging methodology, in which the ion intensity of each analyte is (1) normalized to an external quadratic regression curve, (2) corrected for isomeric interference, and (3) filtered for sample-specific noise and lower and upper limits of quantitation. The end result is a two-dimensional surface density image for each analyte. The sample preparation and quantitation methods are validated by quantitatively imaging four alkyl-quinolone and alkyl-quinoline N-oxide signaling molecules (including Pseudomonas quinolone signal) in Pseudomonas aeruginosa colony biofilms. We show that the relative surface densities of the target biomolecules are substantially different from values inferred through direct intensity comparison and that the developed methodologies can be used to quantitatively compare as many ions as there are available standards.
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http://dx.doi.org/10.1021/acs.analchem.7b05180 | DOI Listing |
Cell Rep Methods
August 2025
Department of Biomedical Engineering and Computational Biology Program, OHSU, Portland, OR, USA; Knight Cancer Institute, OHSU, Portland, OR, USA. Electronic address:
We present UniFORM, a non-parametric, Python-based pipeline for normalizing multiplex tissue imaging (MTI) data at both the feature and pixel levels. UniFORM employs an automated rigid landmark registration method tailored to the distributional characteristics of MTI, with UniFORM operating without prior distributional assumptions and handling both unimodal and bimodal patterns. By aligning the biologically invariant negative populations, UniFORM removes technical variation while preserving tissue-specific expression patterns in positive populations.
View Article and Find Full Text PDFJ Cell Biol
October 2025
Department of Biology, Carnegie Mellon University, Pittsburgh, PA, USA.
Many cancers use an alternative lengthening of telomeres (ALT) pathway for telomere maintenance. ALT telomeric DNA synthesis occurs in ALT-associated PML bodies (APBs). However, the mechanisms by which APBs form are not well understood.
View Article and Find Full Text PDFCureus
July 2025
Endocrine Surgery and Surgical Oncology, Shalamar Medical and Dental College, Lahore, PAK.
Background: Pheochromocytomas are rare catecholamine-producing neoplasms of the adrenal medulla that present considerable perioperative management challenges. Despite advances in pharmacologic protocols and surgical techniques, clinical variability, particularly in drug availability (e.g.
View Article and Find Full Text PDFComput Methods Programs Biomed
November 2025
Department of Pathology, Soonchunhyang University Hospital Cheonan, Cheonan, Chungcheongnam-do, South Korea. Electronic address:
Background And Objective: Glomeruli are crucial for blood filtration, waste removal, and regulation of essential substances in the body. Traditional methods for detecting glomeruli rely on human interpretation, which can lead to variability. AI techniques have improved this process; however, most studies have used images with fixed magnification.
View Article and Find Full Text PDFDiagnostics (Basel)
August 2025
Radiology Department, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA 19146, USA.
Differentiating acute kidney injury (AKI) from chronic kidney disease (CKD) in children remains a critical unmet need due to the limitations of current clinical and biochemical markers. Conventional ultrasound lacks the sensitivity to discern subtle parenchymal alterations. This study explores the application of ultrasound radiomics-a novel, non-invasive, and quantitative image analysis method-for distinguishing AKI from CKD in pediatric patients.
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