Hi everyone,
I am a new user of ImageJ and I would be very grateful for any help with the following problem. I want to use ImageJ to calculate total percentage of area covered by bacteria and distinguish the fraction of dead and live cells. For that I am using a live or dead staining where live cells are stained in green and dead cells in red. I obtained a single grayscale image for each fluorescence channel and after subtracting background, I set a thereshold value manually for each image. Afterwards I went to Measure and checked Area and Area fraction (%). I thought that the values of Area fraction was the percentage of area covered but the values seem to low. For instance, the percentage of area covered for the image I have attached (if I consider area fraction) is of about 10%. Can you please let me know if I am doing something wrong or not interpreting the values as I should? Thanks in advance for any ideas! |
Hi Diana,
Could you attatch also a example image after your extraction procedure (binary image after the thresholding)? Then it might be easier to find the problem or explanation. When I try to repeat your described method with a quick extraction (while my thresholding will obviously be different from yours), I end up with values between 35 or 45% (Area fraction) depending upon the threholding I apply. But it seems those are realistic values in comparison to what I see in my image. A potential problem might be that you background option is not set correctly. This you can check under >Process >Binary >Options... to figure out if ImageJ considers the background to be black or white. In conjunction with this, your output image might be displayed with an inverted LUT (for whatever reason) which would give you in inverted measurement in comparison to what you would consider as being foreground (features of interest). Additionally make sure that you do not have any selection present in the image. Otherwhise, the area fraction is determined only from within your ROI. Hope this helps already. With a binary image posted we might help you further. Kind regards, Jan 2014-11-28 11:49 GMT+01:00 dianalves <[hidden email]>: > Hi everyone, > > I am a new user of ImageJ and I would be very grateful for any help with > the > following problem. > I want to use ImageJ to calculate total percentage of area covered by > bacteria and distinguish the fraction of dead and live cells. For that I am > using a live or dead staining where live cells are stained in green and > dead > cells in red. I obtained a single grayscale image for each fluorescence > channel and after subtracting background, I set a thereshold value manually > for each image. Afterwards I went to Measure and checked Area and Area > fraction (%). I thought that the values of Area fraction was the percentage > of area covered but the values seem to low. For instance, the percentage of > area covered for the image I have attached (if I consider area fraction) is > of about 10%. Can you please let me know if I am doing something wrong or > not interpreting the values as I should? > Thanks in advance for any ideas! > <http://imagej.1557.x6.nabble.com/file/n5010672/Live_cells.png> > > > > -- > View this message in context: > http://imagej.1557.x6.nabble.com/percentage-of-area-covered-by-cells-tp5010672.html > Sent from the ImageJ mailing list archive at Nabble.com. > > -- > ImageJ mailing list: http://imagej.nih.gov/ij/list.html > -- CEO: Dr. rer. nat. Jan Brocher phone: +49 (0)6234 917 03 39 mobile: +49 (0)176 705 746 81 e-mail: [hidden email] info: [hidden email] inquiries: [hidden email] web: www.biovoxxel.de -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html |
In reply to this post by dianalves
Hi,
It seems to me that your image contains two levels of intensity, at least, This seems to correspond as well to the number of pixels that are present in each particle. When I enlarge the image so that I can see the individual spots, I can measure intensities from about 80 to about 200. I wonder if this is due to a focus artifact. At any rate, it makes the choice of threshold particularly sensitive. If I set the threshold to include mostly the brightest particles, from 150-255I get a percent area of about 10%, but it is clear that I am not capturing all of the particles in the the frame. If I reset the threshold so that I capture all of the visible particles, i.e. with a setting of about 75-255, I get approximately 50% of the image. When you slide the threshold bar across the image (in an 8 bit image), you will see underneath an indication of the percent of the area that you are including. It is up to you to determine which setting is ideal for your interest. Joel Joel B. Sheffield, Ph.D Department of Biology Temple University Philadelphia, PA 19122 Voice: 215 204 8839 e-mail: [hidden email] URL: *http://tinyurl.com/khbouft <http://tinyurl.com/khbouft>* On Fri, Nov 28, 2014 at 5:49 AM, dianalves <[hidden email]> wrote: > Hi everyone, > > I am a new user of ImageJ and I would be very grateful for any help with > the > following problem. > I want to use ImageJ to calculate total percentage of area covered by > bacteria and distinguish the fraction of dead and live cells. For that I am > using a live or dead staining where live cells are stained in green and > dead > cells in red. I obtained a single grayscale image for each fluorescence > channel and after subtracting background, I set a thereshold value manually > for each image. Afterwards I went to Measure and checked Area and Area > fraction (%). I thought that the values of Area fraction was the percentage > of area covered but the values seem to low. For instance, the percentage of > area covered for the image I have attached (if I consider area fraction) is > of about 10%. Can you please let me know if I am doing something wrong or > not interpreting the values as I should? > Thanks in advance for any ideas! > <http://imagej.1557.x6.nabble.com/file/n5010672/Live_cells.png> > > > > -- > View this message in context: > http://imagej.1557.x6.nabble.com/percentage-of-area-covered-by-cells-tp5010672.html > Sent from the ImageJ mailing list archive at Nabble.com. > > -- > ImageJ mailing list: http://imagej.nih.gov/ij/list.html > -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html |
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