Colocalization Benchmark Source
This article, Colocalization Benchmark Source, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
Reviewer tools: Inform author |
File:CBSImage.png | |
Content | |
---|---|
Description | Colocalization Quantification Fluorescence microscopy |
Access | |
Data format | TIFF |
Website | www |
Miscellaneous | |
License | Free |
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
- ^ 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.