Last modified by puchades on 2025/02/13 10:43

From version 10.1
edited by puchades
on 2023/06/21 10:22
Change comment: There is no comment for this version
To version 12.1
edited by puchades
on 2023/06/21 10:23
Change comment: There is no comment for this version

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27 27  
28 28  Two alternatives are available, the QUINT image creator app, which is automatically creating the necessary files for downstream analyses in your collab. Or, you can use the image service app which is able to create image tiles in different formats. The steps for preparing your files are described bellow:
29 29  
30 -(% class="wikigeneratedid" %)
31 -=== ===
32 -
33 33  === Use the "QUINT image creator" app ===
34 34  
35 35  **~1. Select images to ingest**
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43 43  Click on the "View Brain" button in order to preview your images.
44 44  
45 45  
43 +
46 46  
47 -
48 48  == ==
49 49  
50 50  === Use Image service app ===
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97 97  
98 98  == ==
99 99  
100 -=== Use Image service app ===
97 +
101 101  
102 -**~1. Start the Image service UI from your webapp**
103 -
104 -**2. Fill in the requested information:**
105 -
106 - - type or paste the URL of the dataset folder containing the images. //Note!// the name of the collab supports only hyphens.
107 -
108 -E.g. https:~/~/data-proxy.ebrains.eu/api/v1/buckets/name-of-my-collab
109 -
110 - - you can filter the data using RegEx expressions. E.g. name_of_the_data_file.*\.jpg$ (for filtering jpeg files only). Or e.g hbp-00173_262_1366_1827.*\.tif$ for tiff files.
111 -
112 - - If your URL is valid, you will see the list of files by pressing "yes". Paste the name of the file you want to select. You can go back to the previous step  by pressing "back"
113 -
114 - - Or use a prefix: E.g. https:~/~/data-proxy.ebrains.eu/api/v1/buckets/name-of-my-collab?prefix=name_of_the_data_folder
115 -
116 - - allow the image service to access your bucket
117 -
118 118  [[image:Skjermbilde 2022-02-08 103443.png||height="199" width="500"]]
119 119  
120 120  - Store your results: Choose "create a new collab" where your ingested chunks will be stored in the bucket. This option is preferred in order not to overload the Bucket of your current  collab. Give a name to your Bucket as well as a name for the  collab (bucket slug) (see this illustration for more info)