Here is a macro frame to adapt (to rework) according to your objectives. Print("Mesenchym_number: ",getResult("Count",2)) Run("Point Tool.", "type=Hybrid color=Red size=Small label counter=0") Run("Find Maxima.", "prominence=30 output=") ![]() Run("Find Maxima.", "prominence=30 output=Count") Run("Set Measurements.", "area redirect=None decimal=3") ImageCalculator("Subtract create", "2","1") Run("Set Scale.", "distance=0 known=0 unit=pixel") Maybe someone else will have some better ideas for unstained brightfield, but I haven’t seen much that works consistently with images where the focus is variable (some cells outlined in white, others not). You will also likely want to use original images, not images with the time stamp modified onto them. I have seen CellPose for some Incucyte images, but your examples lack much contrast, so you may need to fix something at the instrument. I need to maybe work on some overlap issues, but I can now tile and save, process in CellPose, which saves the results as png files in the same folder, then cycle through the png results in the folder to create objects, and voila, brightfield segmentation that is not completely terrible!Īnd in QuPath, I can color code them by circularity. If you have been collecting data without doing this I would trash all of it as the procedure done to collect it hasn't controlled for anything.Īlso as for where to go to ask this stuff.Does anyone have an importing masks script corresponding to the working export tiles script Image Analysis I just wanted to say thank you for this, as it has made importing CellPose results very clean. ![]() Whatever image you are overlaying on you must also split the channels of that as well and use the channel that contains the wavelength you are measuring (ie: Alexaflour 488 would be in the GFP channel). You should use these settings:Īfter all of this then you apply the overlay. Now I assume you are measuring human cancer cells. Also look for odd shaped cells or micro-nuclei, which should also be deleted. Any outlines containing more than one cell should be deleted. However it is not perfect so once ROI pops up and the cells have been outlined by the particle analysis you must go through and ensure it is measuring singular cells. This way you can measure their individual intensities. ![]() You also need to use the "Watershed" function after the threshold so it will outline individual cells allowing you to avoid outlining a group of cells globed together. tif formatīefore threshold you must split the channels, especially if you are looking for florescence from a certain wavelength. Save channels separately not as an RGB stack if you are using.If your microscope cannot save files as RAW format you must use.ImageJ automatically converts images to 8-bit.The are some things you need to be aware of when measuring intensity in imageJ: Right click in the Results window and click Summarize.Īre we correctly measuring mean intensity data using the above steps?. ![]()
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