![]() This paper describes the quantification of hemocytometer and migration/invasion micrographs through two new open-source ImageJ plugins Cell Concentration Calculator and migration assay Counter. I have used ImageJ before to analyze the size of recycled polymer pellets, which is why I started with ImageJ for this project, but that’s it. SummaryAutomatic TranslationNovember 17th, 2016. My biggest issue is that I have little experience with image processing, and barely none with programming. Overall, I need to be able to upload a image to ImageJ (or some software that’ll work), execute a program or macro, and have that program report the number of gels, with approximate sizes if possible. I have found that sometimes this works, and sometimes it doesn’t, and need a consistent way to count these gels. Then I adjusted the threshold to where, for the most part, only the gel distortions were visible as white blobs on a black background, and then I used the Particle Analysis tool to count and find approximate sizes of the gels. So far, I have tried using the Bandpass Filter on ImageJ to remove the horizontal stripes (which has yielded some success), then used the Find Edges command to highlight the distortions caused by the gels. I am open to suggestions on different ways to image the gels, but mostly need help figuring out how to automatically count them. If you zoom into the photo you can see the distortions in the lines created by the gels. The lines in the photo are 0.2mm wide with 0.2mm spaces in between. My current approach to have a consistent background that shows the gels is to have a bunch of evenly spaced lines. Even though they are clear, they reflect/refract the light differently, which is why they are visible with background that isn’t one color. Without a background that has differing contrasts, the gels do not appear in photos. Imaging the gels themselves is difficult because they are clear. A point will appear on the image for each click. Return to your image and click once on every object you want to count. ![]() Ensure Label Points and Show All are selected. The link below has more info on gels themselves, but basically they are unmelted bits of plastic from the recycled resin that show up in the final thin film. Set up your points as you want them to appear on your image by selecting colour and size from the drop down menus. I am trying to create a method to automatically count the amount of gels in PCR (post consumer recycled) thin plastic films using ImageJ.
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