Jump to content

Colocalization Benchmark Source

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Barry.b.benson (talk | contribs) at 11:27, 9 November 2012 (Created page with '{{subst:AFC submission/submit}}<!--- Important, do not remove this line before article has been created. ---> {{infobox_biodatabase |title = The Colocalization ...'). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)
The Colocalization Benchmark Source.
File:CBSImage.png
Content
DescriptionColocalization
Quantification
Fluorescence microscopy
Access
Data formatTIFF
Websitewww.colocalization-benchmark.com
Miscellaneous
LicenseFree

The Colocalization Benchmark Source (CBS) is a free collection of downloadable images to test and validate the degree of colocalization of markers in fluorescence microscopy studies. It serves as a specialised database of computer-simulated images with exactly known (pre-defined) values of colocalization ranging from 0% to 90%. They were created using an original image simulation algorithm.[1] These images can be downloaded as sets as well as separately.

The use of CBS images was tested and published in specialised protocols.[2][3]

How to use

1. Download the appropriate color channels set of benchmark images. 2. Open this set of images in the quantitative colocalization analysis software you are using and calculate the values of colocalization coefficients on them. 3. By comparing the values of coefficients on your images with the values of coefficients on pre-defined images, select the closest benchmark image and use its value of colocalization to describe your results.

Examples

CBS encourages its users to submit examples of their own images when CBS was used to validate colocalization for sharing this information between colleagues.

See also

References

  1. ^ Wu Y et al (2010). "Quantitative determination of spatial protein-protein correlations in fluorescence confocal microscopy." Biophys J 98:493-504.
  2. ^ 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.
  3. ^ Zinchuk V & Grossenbacher-Zinchuk O (2011). "Quantitative colocalization analysis of confocal fluorescence microscopy images." Curr Protoc Cell Biol Unit 4.19.