https://github.com/danforthcenter/plantcv-homology-tutorials

https://github.com/danforthcenter/plantcv-homology-tutorials

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/danforthcenter/plantcv-homology-tutorials
• Owner: danforthcenter
• License: cc-by-4.0
• Created: 2021-09-16T01:16:43.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2025-12-02T17:17:45.000Z (4 months ago)
• Last Synced: 2025-12-05T16:20:34.531Z (4 months ago)
• Language: Jupyter Notebook
• Size: 38.1 MB
• Stars: 0
• Watchers: 5
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# De novo homology assessment from landmark data

[![test-pr](https://github.com/danforthcenter/plantcv-homology-tutorials/actions/workflows/ci-tests.yml/badge.svg)](https://github.com/danforthcenter/plantcv-homology-tutorials/actions/workflows/ci-tests.yml)

This is an introduction to morphometric analysis in PlantCV using a pseudo-landmarking approach.

**Author**: John Hodge

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/danforthcenter/plantcv-homology-tutorials/HEAD?filepath=index.ipynb)

## Tutorial tags/keywords

pseudo-landmarking, homology, morphometrics, setaria

## Citations

Hodge JG, Li Q, Doust A. 2021. De novo homology assessment from landmark data: A workflow to identify and track segmented structures in plant time series images. bioRxiv:2021.02.21.432162. DOI: 10.1101/2021.02.21.432162.