Changes for page 03a Reconstruction with Reco GUI
Last modified by flenners on 2026-02-04 17:25
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... ... @@ -1,16 +1,5 @@ 1 1 == {{id name="03aReconstructionwithRecoGUI-Preperation:"/}}Preperation: == 2 2 3 - 4 -Open the following link in a browser and log in with your DESY account (not door account!). 5 - 6 -[[https:~~/~~/max-display.desy.de:3389/auth/ssh>>url:https://max-display.desy.de:3443/auth/ssh]] 7 - 8 -Start a new XFCE session by clicking on the running mouse:, select browser session 9 - 10 -[[image:image2021-4-27_13-55-52.png||height="405" width="911"]] 11 - 12 - 13 - 14 14 Terminal: 15 15 16 16 ... ... @@ -83,11 +83,12 @@ 83 83 84 84 Check the subfolder path of the phase retievals. Standard path is holopipe/phase_retrieval 85 85 86 -Click on "Load processed"75 +Click on "Load normalized data" at the bottom of the page and select your phase reconstruced projections. 87 87 77 + 88 88 You do not need to load any additional dark images. 89 89 90 -Skip "Normalize, Minus Log, Rotate" in the Preperation Tab. The optional steps ,eg. padding are still optional. (see below)80 +Skip "Normalize, Minus Log, Rotate" in the Preperation Tab. The optional steps are still optional. (see below) 91 91 92 92 In principle, you can directly proceed to the third tab "Reconstruction". 93 93 ... ... @@ -113,7 +113,7 @@ 113 113 114 114 **Binning:** You can bin your data before reconstruction. Since the detector has a point spread function of 2-3 pixels, it is save to bin by a factor of 2 without loosing spatial resolution. This reduces computation time and storage space needed. 115 115 116 -**Padding:** **//RECOMENDEDFOR ROIscans//**! If your samples are significantly __larger__ than the field of view, you can pad your data to prevent artifacts at the outer field of view. Example: 100106 +**Padding:** If your samples are significantly __larger__ than the field of view, you can pad your data to prevent artifacts at the outer field of view. Example: 100 117 117 118 118 **Filter Projections before reconstruction:** You can filter the data before reconstruction. This reduces the noise, but also can induce blurring in the data. Only recommended for very noisy data. Filtering after reconstruction is usually better. 119 119
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