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For all images, beside those of actin, local background subtraction was done by high-pass filtration as previously described [11, see Fig. 1 there].
Background subtraction was done for each lane at positions where no visible spots could be seen.
Background subtraction was done by using the built-in rolling ball radius algorithm and set equal in all images.
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The background subtraction is done.
The background subtraction is done by placing a second bare optical fibre next to the original sensing fibre.
We propose ID-based split background image subtraction in which background subtraction is done on some portions of the background image by seeing the previous sensor node ID.
Spot finding, quantification and background subtraction were done with ImageQuant TL 7.0 program (GE Healthcare, UK).
To subtract large background artifacts, an average of all images was subtracted from each image, and further background subtraction was performed by rolling ball subtraction in ImageJ.
Background subtraction was performed using the Bayesian background subtraction method, which permits negative background-subtracted intensities (BSIs).
In all the measurements, background subtraction was made.
No background subtraction was performed.
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