ArticleBiology open2016
Systematic and general method for quantifying localization in microscopy images.
Article in Biology open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
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- Alpha-synucleinopathy reduces NMNAT3 protein levels and neurite formation that can be rescued by targeting the NAD+ pathway.Human molecular genetics · 2022Article
- Lipid-driven condensation and interfacial ordering of FUS.Science advances · 2022Article
- Co-Density Distribution Maps for Advanced Molecule Colocalization and Co-Distribution Analysis.Sensors (Basel, Switzerland) · 2021Article
- High Expression of Nicotinamide N-Methyltransferase in Patients with Sporadic Alzheimer's Disease.Molecular neurobiology · 2021Article
- TGF-β-induced DACT1 biomolecular condensates repress Wnt signalling to promote bone metastasis.Nature cell biology · 2021Article
- Co-localization of fluorescent signals using deep learning with Manders overlapping coefficient.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Compound HeterozygousFrontiers in cardiovascular medicine · 2021Article
- Orthogonal Blue and Red Light Controlled Cell-Cell Adhesions Enable Sorting-out in Multicellular Structures.ACS synthetic biology · 2020Article
- Inclusion of IR-820 into Soybean-Phosphatides-Based Nanoparticles for Near-Infrared-Triggered Release and Endolysosomal Escape in HaCaT Keratinocytes at Insignificant Cytotoxic Level.International journal of nanomedicine · 2020Article
- EzColocalization: An ImageJ plugin for visualizing and measuring colocalization in cells and organisms.Scientific reports · 2018Article
- Nucleoid and cytoplasmic localization of small RNAs in Escherichia coli.Nucleic acids research · 2017Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantifying the localization of molecules with respect to other molecules, cell structures and intracellular regions is essential to understanding their regulation and actions. However, measuring localization from microscopy images is often difficult with existing metrics. Here, we evaluate a metric for quantifying localization termed the threshold overlap score (TOS), and show it is simple to calculate, easy to interpret, able to be used to systematically characterize localization patterns, and generally applicable. TOS is calculated by: (i) measuring the overlap of pixels that are above the intensity thresholds for two signals; (ii) determining whether the overlap is more, less, or the same as expected by chance, i.e. colocalization, anti-colocalization, or non-colocalization; and (iii) rescaling to allow comparison at different thresholds. The above is repeated at multiple threshold combinations to generate a TOS matrix to systematically characterize the relationship between localization and signal intensities. TOS matrices were used to identify and distinguish localization patterns of different proteins in various simulations, cell types and organisms with greater specificity and sensitivity than common metrics. For all the above reasons, TOS is an excellent first line metric, particularly for cells with mixed localization patterns.
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