![]() If I understand correctly, the problem is the rendering/blending of 2 rgb images. But I don’t really get why BDV is giving a better color rendering that QuPath, since QuPath has more built-in options, like color deconvolution. It’s doable to some extent to export the view from BigDataViewer, it’s clunky but it works (I can make a small gif if you think that’s useful). Top-left: single-stain #1 (i.e., moving image), top-right: color converted single-stain #1 (note: just for visualization purposes), bottom-left: single-stain #2 (i.e., target image), bottom-right: overlay of alignment of single-stain #1 and single-stain #2 I’ve also tried exporting images in ome.tiff format to be color corrected elsewhere (e.g., a Python environment) but creation of these images has been computationally expensive given the image size. I’ve tried other color combinations but these settings seem to be the best thus far. I selected these image types so that I can express the overlay using eosin and DAB channels, respectively, and to visually differentiate the individual stained sections (bit of a cheat). Technical specification of output images: Image type: Single-stain #1 (i.e., moving) = H&E-other, Single-stain #2 (i.e., target) = H&E-DAB Technical specifications of input images:įile type =. ![]() Downstream analyses will involve manual region/patch- and cellular-level annotations so an optimal visualization of the alignment overlay is important. Coercing the background color to white or off-white would be ideal. More specifically, the color selection should provide a greater contrast between the overlay and the background. My group is very satisfied with the alignment quality but I’ve been asked to improve the visualization itself. In the example below, I show two sample single-stain IHC images and the resulting alignment overlay. But he may wish to sell the template later on.I’ve loaded multiple series of single-stain IHC images into QuPath and then aligned them using the Warpy plug-in in ImageJ/Fiji. Thks for Lionel and anything you can think of to distinguish the subsets more visually, globally and that he can maintain. Is it better / easier to colorize the background of the cards, the screen, anything else? What’s the simplest way? Tiens 1 background de bulles pour les mousseux bubbles for sparkling wine? just an idea. I suggest he could change the app color for a neutral bottle color (black or bottle green) and colorize the background for each subset. If I sum up: Lionel has all colors of wine and is displaying a subset of each: red (Claret), white, pink & sparkling Sinon, I think that emoticons with just colored pastilles is not only easy to do but suits exactly what you can see in wine reviews each season that select & rank best wines : they use pastilles too, so people can easily spot them. ![]() Just wait & see.įor your other wine stock hidden tab, I think ThinhDinh’s idea can please you: if you have fixed tabs and text, you’d better create images to label them (avatar icons in layout) et voilà ! I’m sure with some luck, Glide could even enable it natively. Ok, I guessed you had other plans for coloring tag: but for now, Experts here recommend you to let go= too much work and / or not reliable. I continue in English so that you can get better help. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |