![]() Those projects are outside the scope of what I can achieve at LOCI right now, but I’m very supportive and enthusiastic if another group wants to get involved in those directions. Request PDF Comparison of threshold algorithms for automatic image processing of rice roots using freeware ImageJ High-throughput phenotyping of crop. Maybe that is someone rescuing and continuing the ImageJFX project maybe that is another entirely new UI or maybe just integrating ImageJ features with other existing UIs. My feeling is that the thresholding UI should be improved as part of a larger UI overhaul. from fiji.threshold import AutoThreshold imp IJ.getImage() hist imp.getProcessor().getHistogram() lowTH AutoThreshold.Otsu(hist) print lowTH if you want to convert to mask, then imp.getProcessor().threshold(lowTH) For the other algorithms for the automatic threshold value estimation, see the Javadoc. There are lots of other bigger fish to fry right now. ![]() It’s a tall order, and likely means that the way thresholding works in ImageJ won’t change any time soon. I agree with that a good way to think about such changes is: what impact will it have on the way people work? Will it encourage good workflows, or bad workflows, and how + why? I also agree that existing functionality should be left in place-at minimum, existing macros must still work the way they did before. Speaking from experience: any change we make to very common core functionality in ImageJ will be met with complaints. We used a false discovery rate (FDR) threshold of 10 in all cell lines to identify high-confidence hits. ![]() The membrane was blocked in 5 milk in Tris-buffered saline with 0.05 Tween-20 for 1 h and incubated with S9.6 antibody (1:100). Seems like we have to agree to disagree here Stratagene) at the ‘Auto Crosslink’ setting (1200 J × 100). ![]()
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