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Series of files in Dioptas
Dioptas can open 1-D integrated files in a "batch" mode and is very gentle with intensity corrections, though it takes more time (Dioptase performs integration every time a "batch" image is constructed) and requires some preparations.
So far, Dioptas (version 0.5.4) doesn't open .edf files in a "batch" mode, and conversion to .tiff is needed. It can be done in any way you prefer; however, a py script has been made for that by D.D.
Launch Dioptas. Perform a correction or load a .poni file created before (you need to be in a "calibration" menu - on the left side of the main window). Perform "masking".
Click on "Integration" (left side). In "Image" menu (top right) click "Batch view".
Click on a folder icon in an opened "Batch widget" window. Select all .tiff files in the same directory (ctrl+a might be useful) and click "open". It takes some time to load the files, and Dioptas can stop responding. Once images are loaded (names appear in the widget), click on "Integrate".
As result, you will see a 2-D image of "Image number" vs. 2θ. You can play with intensities and colour schemes in this widget by right-clicking the colour bar. This creates a pop-up where one of the predefined colour scales can be selected. The position of the individual colours can be adjusted by dragging the triangle of this colour. Further, the colours can be changed completely by double clicking (left) it, which will pop up a colour chooser. It is in addition also possible to add a completely new colour by double clicking (left) next to the colour bar. The histogram next to the colour bar shows the intensity distribution of the loaded image on a log scale. The sliders two lines define the scaling of the image in the image view.
Left click moves a marked position (green dashed line on a 1-D image). Left drag zooms into the selected area. It will try to scale images accordingly but will not perfectly zoom in to the selected area. Right click zooms out, double right click zooms out completely. The mouse wheel zooms in and out based on the current cursor position. To save an image, click on a "save" icon.