- About The Project
- Publication Details
- Built With
- Features
- Installation
- Usage
- License
- Contact
- Acknowledgements
The project contains two scripts used to model the relationship between fluorescence anisotropy and true strain in
polymer films containing fluorescent nanocrystals. It was developed for the publication "Effect of
luminescent nanocrystal alignment on fluorescence anisotropy and light guiding in polymer films". One is a script to
model fluorescence anisotropy vs true strain data with an exponential model and the other models the same data with a
series of linear models.
Please cite "Effect of luminescent nanocrystal alignment on fluorescence anisotropy and light guiding in polymer films"
when using this tool.
Title: "Effect of luminescent nanocrystal alignment on fluorescence anisotropy and light guiding in polymer films"
Authors: Timothy Warner, Michael Rinaudo, Yang Xu, Jiho Han, Arun Ashokan, Nicholas Kirkwood, Asaph Widmer-Cooper,
Trevor A. Smith, Kenneth P. Ghiggino*, and Gary Rosengarten
Corresponding Author: Kenneth P. Ghiggino (ghiggino@unimelb.edu.au)
- Python - A high-level programming language used for general-purpose programming.
- Feature 1: Exponential modelling of fluorescence anisotropy vs true strain data.
- Feature 2: Fit and analyze the same data using a series of linear models.
- Python 3.7+
- Libraries:
- numpy
- pandas
- matplotlib
- scipy
Access the project and releases on GitHub at https://github.com/Timothy-J-Warner/fluorescence-anisotropy-vs-strain-modelling
- Modify the "strain_vs_anisotropy_data.csv" file with your dataset.
- Choose your model:
- Run "exponential_model.py" to model exponential relationship.
- Run "linear_model.py" to model a series of possible linear relationships.
- View the results in the outputs folders.
This software is licensed under the MIT License. See LICENSE for more details.
Timothy Warner - warnet2@mcmaster.ca GitHub: Timothy-J-Warner
- Project contributors: Timothy Warner, Negar Takhsha