<lidata-nav-id="/en/tutorial/notebooks/integrated_roi_counts_vs_file_name_and_time_stamp/"title="Integrated ROI Counts vs File Name and Time Stamp"class="dd-item
<lidata-nav-id="/en/tutorial/notebooks/integrated_roi_counts_vs_file_name_and_time_stamp/"title="Integrated ROI Counts vs File Name and Time Stamp"class="dd-item
<lidata-nav-id="/en/tutorial/notebooks/integrated_roi_counts_vs_file_name_and_time_stamp/"title="Integrated ROI Counts vs File Name and Time Stamp"class="dd-item
"content":"Our gloal is to only develop open source tools. You will find here a list of the major repositories hosting our programs\n jupyter notebooks used in the analysis of the data python_notebooks python library used for normalization neunorm Imaging Resonance python library imagingReso iBeatles for Bragg Edge fitting iBeatles set of jupyter widgets ipywe Root analysis library RootPlantProcessing "
"title":"Integrated ROI Counts vs File Name and Time Stamp",
"tags":[],
"description":"",
"content":" Notebook name: integrated_roi_counts_vs_file_name_and_time_stamp.ipynb\nDescription This notebook will create an ASCII file with the following information\n file index file name time stamp of file Mean or total number of counts of each region of interest for each image Start the notebook If you need help accessing this notebook, check the How To \u0026gt; Start the python notebooks tutorial.\nHow to Use It? Select your IPTS Check the full tutorial here\nloading the Images You need to provide the list of samples, OB and DF (if needed). To do so, just SHIFT + ENTER the following cell to display a selection tool wizard.\nThe dialogbox will start listing the files from the IPTS folder you selected in the first cell. Feel free to navigate to find your data set.\nCheck the file selection tool tutorial to learn how to use the file selector tool. Presentation of the UI Step by Step ROI selection You have the option with this UI to select more than one region of interest (ROI). Click the + button on the right to add a ROI, and - if you want to remove the ROI selected. You can also enabled or disabled any of the ROIs.\nTo modify any of the ROI, you can either:\n move or resize the ROI directly from the Image window manually change x0, y0, width or/and height in the ROI table The total conts vs file index plot will be updated live as you modified the ROI. This plot displays the mean or total counts of the ROIs for each image (1 image = 1 data point)\nIntegration Algorithm The current implementation provides 2 algorithms to integrate the counts within each ROI\n Add - sum counts of all the pixels in the ROI Mean - average counts of all the pixels in the ROI The total counts vs file index plot will be updated live as you change the algorithm.\nExport the Counts vs file name and time stamp information Click the Export Counts vs File Name and Time Stamp \u0026hellip; button to create the ascii file version of the data found int the Summary Tab table.\nThe following 3 images shows an example where 3 ROIs have been created, how the summary tab looks like and the final output file created.\n"
<lidata-nav-id="/en/tutorial/notebooks/integrated_roi_counts_vs_file_name_and_time_stamp/"title="Integrated ROI Counts vs File Name and Time Stamp"class="dd-item
