| Working with images in python | 
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    Arrays in python | 
    
      
      - Theory complete
 
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      - Intro and summary
 
      - Data in colab
 
      - Link on IAEA elearning
 
     
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    Working with images | 
    
        
      - Theory complete
 
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      - Intro and summary
 
      - Data in colab
 
      - Link on IAEA elearning
 
     
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    Noise in images | 
    
      
        - Theory complete
 
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        - Intro and summary
 
        - Data in colab
 
        - Link on IAEA elearning
 
       
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    Image filtering | 
    
        
        - Theory complete
 
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        - Intro and summary
 
        - Data in colab
 
         - Link on IAEA elearning
 
       
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    Image segmentation | 
    
        Theory complete
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        Intro and summary
        Data in colab
        Link on IAEA elearning
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    | Quantitative analysis of neutron images | 
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    Attenuation coefficient from step wedge | 
        
        Theory complete
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        Intro and summary
        Data in colab
        Link on IAEA elearning
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    Time series analysis - Capillary rise in sand | 
        
        Theory complete
        Header
        Intro and summary
        Data in colab
        Link on IAEA elearning
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    | Pixels and resolution | 
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    The relation between pixel size, sampling, and resolution | 
    Theory complete
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        Intro and summary
        Data in colab
        Link on IAEA elearning | 
    
   
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    How to measure the pixel size | 
    Theory complete
        Header
        Intro and summary
        Data in colab
        Link on IAEA elearning | 
    
   
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    How to measure the resolution | 
    Theory complete
        Header
        Intro and summary
        Data in colab
        Link on IAEA elearning | 
    
   
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    | Instructions | 
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    Done | 
<a src="https://imagingelearning.github.io/instructions.html" /a>
    
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    | Video instruction | 
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    To do | 
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