Re: Problem with thresholding

Posted by Gabriel Landini on Nov 11, 2020; 10:05am
URL: http://imagej.273.s1.nabble.com/Problem-with-thresholding-tp5024162p5024163.html

Hi,
With a confocal stack, to quantify the area occupied in the red channel, I
would not use the colour threshold plugin, but just the red channel as a
greyscale image. You are complicating things unnecessarily.

In addition, the intensity of the channels in a confocal microscope depend on
a number of things, that you need to control, not just the amount of bound of
antibody bound.

From the description is not possible to tell what is that you consider "total
area" so not sure what may be wrong with the areas detected. Maybe you are
comparing pixel units and calibrated units.

Hope it helps

Gabriel


On Tuesday, 10 November 2020 23:37:30 GMT you wrote:

> Hi All,
>
> I am having a problem quantifying an antibody staining where the value of
> the total area comes up smaller than the value of the cells stained by the
> antibody (it should be the opposite).
>
> In the past with the color threshold plugin I was able to sample the
> staining and have the values for both total area and the staining. Now it
> this not working so I tried some workaround. Here is the macro for the
> reactive area to the antibody where I run the color threshold and then I
> inverted the image and re-run the threshold (this was one of the many
> attempts).
>
> I am attaching the original image and the image generated after running the
> macro for the threshold antibody calculation in the output folder (black
> background). You can also check a third image (white background) that was
> generated during the second threshold calculation in the macro.
>
> Does anybody have any idea what I am missing since it was working in the
> past?
> I recently updated ImageJ.
> Thank you
>
>
> // Color Thresholder 1.52k
> // Autogenerated macro, single images only!
> min=newArray(3);
> max=newArray(3);
> filter=newArray(3);
> a=getTitle();
> run("HSB Stack");
> run("Convert Stack to Images");
> selectWindow("Hue");
> rename("0");
> selectWindow("Saturation");
> rename("1");
> selectWindow("Brightness");
> rename("2");
> min[0]=117;
> max[0]=229;
> filter[0]="stop";
> min[1]=170;
> max[1]=255;
> filter[1]="pass";
> min[2]=102;
> max[2]=255;
> filter[2]="pass";
> for (i=0;i<3;i++){
>   selectWindow(""+i);
>   setThreshold(min[i], max[i]);
>   run("Convert to Mask");
>   if (filter[i]=="stop")  run("Invert");
> }
> imageCalculator("AND create", "0","1");
> imageCalculator("AND create", "Result of 0","2");
> for (i=0;i<3;i++){
>   selectWindow(""+i);
>   close();
> }
> selectWindow("Result of 0");
> close();
> selectWindow("Result of Result of 0");
> rename(a);
> // Colour Thresholding-------------
>
>
> run("Invert");
>
> run("Duplicate...", " ");
> setAutoThreshold("Intermodes");
> //setThreshold(0, 125);
> run("Convert to Mask");
>
>
> run("Set Scale...", "distance=340 known=100 pixel=1 unit=um");
>
> run("Measure");
>
>
> <http://imagej.1557.x6.nabble.com/file/t187616/photomicrograph.png>
> <http://imagej.1557.x6.nabble.com/file/t187616/44773_Tra%2BHCQ_F40_dapi_Merg
> e_001.jpg>
> <http://imagej.1557.x6.nabble.com/file/t187616/Screen_Shot_2020-11-10_at_5.
> png>
>
>
>
>
>
>
> --
> Sent from: http://imagej.1557.x6.nabble.com/
>
> --
> ImageJ mailing list: http://imagej.nih.gov/ij/list.html

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