The color of it’s cytoplasm is very similar to the color of a bright erythrocyte. You can see that the upper left cell is really causing trouble, since it is so bright. This can be accomplished by either selecting a range of 80 to 255 and the pass option or selecting the range 0 to 80 without the pass option: Adjust your filter so that every hue and every brightness passes. We determined that our cells were easy to recognize in the saturation channel. No, let’s take a look at our mental note. Instead, our conditions are:Īnd since no pixel satisfies these conditions, nothing is colored in red. If everything can be answered with “yes”, our pixel fulfills our filtering condition and is colored as red. Is the hue between 0 and 255 (unfortunately our 360° are mapped to 255 values.Let's adjust our filter so that everything passes. Select 0 on the upper slider of each filter, and 255 on the lower slider. Now, before we come to the Pass check box, we need to understand what this filter does. This will be indicated as a black rectangle on the histogram. With the scroll bars beneath the histogram, we can select a range. Since we have a lot of reddish cells, we can see a peak in the red area of the hue-histogram. The histogram displays how many pixels have a certain hue, saturation or brightness. These buttons are not relevant for us in this example.įilters: The filters are made of histograms, a range selection (the two scroll bars) and a mysterious Pass check box. The last button ( Macro) can create code used for automation. Stack applies your settings to the remaining images, if you have a stack open. ![]() Sample will try to create a filter based on the current selection.
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