Griottes
stable

Contents:

  • Installation
  • Usage
    • Working with 2D labels
    • Working with 3D spheroid data
    • Working with the 3D coordinates
  • API
Griottes
  • Usage
  • Edit on GitHub

Usage

Launch jupyter lab or notebook and navigate to Griottes/example notebooks folder Try interactive version in Binder

  • Working with 2D labels
    • I. Building graph
      • 1. Load image and mask of nuclei
      • 2. Generating a contact graph
      • 3. Plotting a representation of the graph
    • II. Estimating the properties of the tissue graphs
      • 1. Geometric graphs
      • 2. Delaunay graphs
      • 3. Comparing graph construction properties
      • 4. Populating nodes with different cell types
  • Working with 3D spheroid data
    • I. Build the graph
      • 1. Load image and mask of nuclei
      • 2. Extracting single-cell fluorescence data
      • 3. Network representation of tissues in 3D
    • II. Spatial analysis of MSC spheroids
      • 1. Attributing layers to spheroids
      • 2. Comparing graph properties between spheroids
      • 3. Looking at the link statistics
      • 4. Looking at statistics over individual cells in the network
  • Working with the 3D coordinates
    • I. Build the graph
      • 1. Load image and mask of nuclei
      • 2. Create Delaunay network
      • 3. Plot the graph
    • II. Analyzing the network properties
      • 1. Tissue composition
      • 2. Degree distribution within the tissue
      • 3. Subgraph clusters
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© Copyright 2022, Gustave Ronteix, Andrey Aristov. Revision 8d1c66c1.

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