Easy Tracking of Rhythms in Plants
Project description
eTRiP:
Easy Tracking Rhythms in Plants: optimise the pipeline to detect periodicity of upwards/downwards movements in plants
This repository contains code for motion detection and modelling based on PyTRiP from github.com/KTgreenham/TRiP. Additionaly a widget has been added to handle the cropping of images.
Install from the Python Package Index repository with
pip install --upgrade etrip
Example code to run the imageSelector widget within a jupyter notebook
import etrip
#crop images
etrip.imageSelector("/my/data/directory/original/", "/my/data/directory/cropped/")
Further analysis
#compute motion
etrip.estimateAllMotion("/my/data/directory/cropped/", "/my/data/directory/analysis/")
#fit model
etrip.fitAllMotion("/my/data/directory/analysis/")
See help(etrip) for more information about the parameters for each function.
Details of the algorithm, plant imaging set up and examples can be found here: Greenham, K., Lou, P., Remsen, S.E. et al. TRiP: Tracking Rhythms in Plants, an automated leaf movement analysis program for circadian period estimation. Plant Methods 11, 33 (2015). https://doi.org/10.1186/s13007-015-0075-5
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