Your English writing platform
Discover LudwigSuggestions(5)
Exact(5)
Mean background pixel intensity was also measured in a region surrounding each neuron and this value was subtracted from each cytoplasmic value.
The mean pixel value of a rectangular region was calculated close but outside a band of interest to calculate the mean background pixel value.
GenePix 6.1 calculates SNR as the ratio of the mean net signal intensity (mean background pixel intensity subtracted from the mean foreground pixel intensity) over the standard deviation of the background pixel intensity.
RICM movies (2 s/frame) were analyzed starting at one frame before pixels darker than the mean background pixel appeared in the cell/surface contact zone.
Because of the variations of absolute numbers from different donors, the number of cells was normalized to cell count on the 60 nm surfaces after 20 min. Cells were counted as interacting if they had bright spreading areas >10 μm and at least 10 pixels with gray values smaller than the mean background pixel gray value (dark adhesion patches).
Similar(55)
Mean local background pixel intensities were subtracted from mean spot-pixel intensities for both channels, which were then combined as Log2-ratios.
Signals were only assessed as positive if mean spot pixel intensity was higher than the mean local background intensity plus twice the standard deviation of the mean local background pixel intensity.
Median foreground pixel intensities for spots were adjusted by subtracting median background pixel intensities.
For the fluorescence assay, each array feature was calculated using the SNR, defined as: ((F63 5 Mean ) - (B63 5 Mean ) ) ∕ (B63 5 SD ), where (F635Mean) was the mean of all the feature pixel intensities at 635 nm, (B635Mean) was the mean of all the background pixel intensities at 635 nm, and (B635SD) was the standard deviation of the background pixel intensities at 635 nm.
However, many background pixels also were classified as foreground pixels.
The mean background was then subtracted from each pixel within the circle, and the resulting pixel intensities were summed.
More suggestions(2)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com