I'd be happy to have answers in the form of hotkeys, macros, or entirely different solutions. Is there a way to perform the measurement step for all the rectangles in the lane at once? The size of the lane selection tool was 16 pixels wide (Figure 2a). Second, when doing the measuring step, currently I must click on each rectangle individually, then hit m, then manually select the next one, press m again, etc., like so: The Gel Analyzer tool of ImageJ was used to determine the profiles of each lane of the gels. Is there an easy way to move all the rectangles downward the same number of pixels at the same time? In many programs, something like Shift + Click or Command + Click would allow one to select multiple rectangles, for instance. csv (I am about to restart at step 4 for lane 2). Here, I've just completed the process and exported the results to. My immediate goal for this post is really to speed these few steps up (below), unless there is an easy generalized solution. However, there are a few key steps that if those could be streamlined, the process would become very rapid. for lane 2 and repeat above steps starting from 4.Īutomating this entire process would be best, but strikes me as a bit more involved than I have time for at present for a number of reasons. Finally, export all the measurements to a. Select each rectangle, and press `m` each time. Click on the first rectangle (from Step 5.). Repeat until every band in the first lane is selected. Move rectangle to second band -> Select next lane.ħ. Go to Analysis -> Gels -> Select first lane.Ħ. Draw a first rectangle around the first band in lane 1.ĥ. Select Edit, then `Invert` the image (such that white -> black black -> white)Ĥ. My basic procedures follows NIH recommendations for use of ImageJ. However, if there are relevant features in the standalone versions, please let me know as I would be willing to switch versions. For reproducibility, I will be using the web-based version for this post. Using ImageJ for the first time, in this case to quantify Western Blot data.
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