Smart Background Correction for Colocalization Analysis


Minimizing the effect of background noise in fluorescence images is an important step to ensure reliability of colocalization data.

We developed a new approach that corrects image background automatically according to the selected region of interest (ROI). We call it Smart Background Correction. This approach ties together background correction and ROI selection into a single step. Correction is performed differently depending on selected ROI, but using the same algorithm to ensure comparability of results. This represents a major improvement in reliability of colocalization analysis as well as simplifies quantification workflow.

For more information on Smart Background Correction, visit the website of CoLocalization Research Software:

If you have any questions, use the Contact form to inquire:

Vadim Zinchuk

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