Algotom
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  • 1. Basic tutorials
    • 1.1. Python for tomography scientists as beginners
    • 1.2. Common data format at synchrotron facilities
    • 1.3. Basic components of an X-ray tomography system
    • 1.4. Basic workflow for processing tomographic data
    • 1.5. Parallel processing in Python
  • 2. Features and capabilities
  • 3. Installation
  • 4. Demonstrations
  • 5. Technical notes
  • 6. Update notes
  • 7. API Reference
  • 8. Credits
  • 9. Highlights
Algotom
  • 1. Basic tutorials
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1. Basic tutorials

  • 1.1. Python for tomography scientists as beginners
    • 1.1.1. Installing Python and tools for writing codes
    • 1.1.2. Python ecosystem of libraries
    • 1.1.3. Where/how to start coding
  • 1.2. Common data format at synchrotron facilities
    • 1.2.1. Hdf format
    • 1.2.2. Tiff format
  • 1.3. Basic components of an X-ray tomography system
    • 1.3.1. How tomography works
    • 1.3.2. Basic components of an X-ray tomography system
      • 1.3.2.1. X-ray source
      • 1.3.2.2. Stage
      • 1.3.2.3. Sample
      • 1.3.2.4. Detector
      • 1.3.2.5. Computing resources
  • 1.4. Basic workflow for processing tomographic data
    • 1.4.1. Read/write data
    • 1.4.2. Flat-field correction
    • 1.4.3. Zinger removal
    • 1.4.4. Ring artifact removal
    • 1.4.5. Center-of-rotation determination
    • 1.4.6. Denoising or contrast enhancement
    • 1.4.7. Image reconstruction
    • 1.4.8. Other data processing steps
      • 1.4.8.1. Distortion correction
      • 1.4.8.2. Sinogram stitching for a half-acquisition scan
  • 1.5. Parallel processing in Python
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© Copyright 2021, Nghia T. Vo Diamond Light Source, UK; NSLS-II, Brookhaven National Lab, US. Revision ba2f8e33.

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