Introduction of Smart Background Correction in CoLocalizer Pro 5.2 gave us the reason to recall the changes the Background Correction panel underwent during development. These changes can be summarized as: “from raw to complex to simple”.
It started with a simple standard panel containing channel selector as well as Auto and Manual modes for correction. Auto mode had 3 Image Pattern presets depending on the appearance of images. Manual mode offered correction using either Background ROI or Threshold Value. Background ROI was simple yet very efficient: users were selecting small areas of actual background on the images and then subtracted these selected values of pixel intensities from them. The Threshold Value was a slider capable of removing all pixels below the desired value. This approached worked too, but wasn’t taking into consideration the properties of images.
Version 3 modified channel selector to make it a channel pair selector and added histogram for visual feedback. It still had two tabs for selection, which some users found a bit confusing.
Finally, version 5.2 introduced Smart Background Correction. This feature dramatically improved the way the background is handled. With this approach, background correction and ROI selection are tied into a single step as background is corrected specifically for the selected ROI considering its unique properties. This represents a major step in improving the reliability of colocalization quantification because it allows comparison of the results from different experiments.
Copyright © 2003-2018 CoLocalization Research Software.