The Colocalization Benchmark Source (CBS) is a free collection of downloadable images to test and validate the degree of colocalization of markers in any fluorescence microscopy studies. Colocalization is a visual phenomenon when two molecules of interest are associated with the same structures in the cells and potentially share common functional characteristics.[1][2][3]
The Colocalization Benchmark Source
Content
Description
Free source of benchmark images to validate colocalization in fluorescence microscopy studies
Contact
Authors
Vadim Zinchuk, Yong Wu, Olga Grossenbacher-Zinchuk
CBS provides researchers with reference tools to verify the results of quantitative colocalization measurements.[4] It serves as a specialised bioimage informaticsdatabase of computer-simulated images with exactly known (pre-defined) values of colocalization. They were created using image simulation algorithm. These benchmark images can be downloaded as sets as well as separately. By calculating and comparing the values of coefficients on their images versus benchmark images, researchers can validate the results of quantitative colocalization studies. The use of CBS images was described in a number of studies.[5][6][7][8]
Researchers can submit examples of custom images when the benchmark images were used to validate colocalization on them. Submitted images are then posted on the site of CBS together with description of their properties and the values of coefficients, such as Pearson's correlation coefficient (Rr), overlap coefficient (R), and others. The template for submitting information about custom images can be downloaded from CBS site.
^Bolte S & Cordelieres FP (2006). "A guided tour into subcellular colocalization analysis in light microscopy." J Microsc 224:213–232.
^Comeau JW et al. (2006). "A guide to accurate fluorescence microscopy colocalization measurements." Biophys J 91:4611– 4622.
^Zinchuk V & Grossenbacher-Zinchuk O (2009). "Recent advances in quantitative colocalization analysis: focus on neuroscience." Prog Histochem Cytochem 44:125-172.
^Manders E et al. (1993). "Measurement of colocalization of objects in dual-color confocal images." J Microsc Oxford 169:375–382.
^Wu Y et al. (2010). "Quantitative determination of spatial protein-protein correlations in fluorescence confocal microscopy." Biophys J 98:493-504.
^Zinchuk V et al. (2011). "Quantifying spatial correlations of fluorescent markers using enhanced background reduction with protein proximity index and correlation coefficient estimations." Nat Protoc 6:1554-1567.
^Zinchuk V & Grossenbacher-Zinchuk O (2011). "Quantitative colocalization analysis of confocal fluorescence microscopy images." Curr Protoc Cell Biol Unit 4.19. 2009-11-28 at the Wayback Machine
^Zinchuk V et al. (2013). "Bridging the gap between qualitative and quantitative colocalization results in fluorescence microscopy studies." Sci Rep 3:1365 doi:10.1038/srep01365.
External linksedit
Colocalization Benchmark Source home page
April 13, 2024
colocalization, benchmark, source, free, collection, downloadable, images, test, validate, degree, colocalization, markers, fluorescence, microscopy, studies, colocalization, visual, phenomenon, when, molecules, interest, associated, with, same, structures, ce. The Colocalization Benchmark Source CBS is a free collection of downloadable images to test and validate the degree of colocalization of markers in any fluorescence microscopy studies Colocalization is a visual phenomenon when two molecules of interest are associated with the same structures in the cells and potentially share common functional characteristics 1 2 3 The Colocalization Benchmark SourceContentDescriptionFree source of benchmark images to validate colocalization in fluorescence microscopy studiesContactAuthorsVadim Zinchuk Yong Wu Olga Grossenbacher ZinchukRelease date2012AccessData formatLossless Tagged Image File Format TIFF Websitewww wbr colocalization benchmark wbr comMiscellaneousLicenseFreeVersion1 1 1CBS provides researchers with reference tools to verify the results of quantitative colocalization measurements 4 It serves as a specialised bioimage informatics database of computer simulated images with exactly known pre defined values of colocalization They were created using image simulation algorithm These benchmark images can be downloaded as sets as well as separately By calculating and comparing the values of coefficients on their images versus benchmark images researchers can validate the results of quantitative colocalization studies The use of CBS images was described in a number of studies 5 6 7 8 Contents 1 Examples 2 See also 3 References 4 External linksExamples editResearchers can submit examples of custom images when the benchmark images were used to validate colocalization on them Submitted images are then posted on the site of CBS together with description of their properties and the values of coefficients such as Pearson s correlation coefficient Rr overlap coefficient R and others The template for submitting information about custom images can be downloaded from CBS site See also editColocalization Fluorescence microscopy Bioimage informatics Biological databaseReferences edit Bolte S amp Cordelieres FP 2006 A guided tour into subcellular colocalization analysis in light microscopy J Microsc 224 213 232 Comeau JW et al 2006 A guide to accurate fluorescence microscopy colocalization measurements Biophys J 91 4611 4622 Zinchuk V amp Grossenbacher Zinchuk O 2009 Recent advances in quantitative colocalization analysis focus on neuroscience Prog Histochem Cytochem 44 125 172 Manders E et al 1993 Measurement of colocalization of objects in dual color confocal images J Microsc Oxford 169 375 382 Wu Y et al 2010 Quantitative determination of spatial protein protein correlations in fluorescence confocal microscopy Biophys J 98 493 504 Zinchuk V et al 2011 Quantifying spatial correlations of fluorescent markers using enhanced background reduction with protein proximity index and correlation coefficient estimations Nat Protoc 6 1554 1567 Zinchuk V amp Grossenbacher Zinchuk O 2011 Quantitative colocalization analysis of confocal fluorescence microscopy images Curr Protoc Cell Biol Unit 4 19 Archived 2009 11 28 at the Wayback Machine Zinchuk V et al 2013 Bridging the gap between qualitative and quantitative colocalization results in fluorescence microscopy studies Sci Rep 3 1365 doi 10 1038 srep01365 External links editColocalization Benchmark Source home page Retrieved from https en wikipedia org w index php title Colocalization Benchmark Source amp oldid 925837901, wikipedia, wiki, book, books, library,
