mint
Modified Intraneuronal Nanoparticle Tracking (MINT) is a Python script used to extract intraneuronal transport parameters from the trajectories of optically active nanoparticles.
Science Score: 67.0%
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Low similarity (6.7%) to scientific vocabulary
Keywords
Repository
Modified Intraneuronal Nanoparticle Tracking (MINT) is a Python script used to extract intraneuronal transport parameters from the trajectories of optically active nanoparticles.
Basic Info
- Host: GitHub
- Owner: biophotlumin
- License: gpl-3.0
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://lumin-mint.readthedocs.io/en/latest/
- Size: 74.1 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 8
Topics
Metadata Files
README.md
MINT
Modified Intraneuronal Nanoparticle Tracking (MINT) is a Python script used to extract intraneuronal transport parameters from trajectories of optically active nanoparticles.
It relies on trackpy to extract trajectories from videos, from which transport parameters are then calculated and statistically tested.
It can reasonably be applied to videos of fluorophore-labelled organelles or similar experiments.
Please refer to the documentation for further information.
Quickstart
Install the latest version :
git clone https://github.com/biophotlumin/mint.git
cd mint
pip install .
You can then run MINT with :
mint -f <input_folder> -p <path/to/file> -l -e -s
-f, --folder : Path to raw data folder.
-p, --params : Path to config file (YAML or JSON).
-l, --locate : Run tracking.
-e, --extract : Extract transport parameters from trajectories.
-s, --stats : Run statistical analysis.
Owner
- Name: LuMIn Biophotonique
- Login: biophotlumin
- Kind: organization
- Repositories: 1
- Profile: https://github.com/biophotlumin
# All our materials related to the tracking device
Citation (CITATION.cff)
cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Grimaud
given-names: Baptiste
title: mint
version: v0.2.0
date-released: 2023-03-02
GitHub Events
Total
- Delete event: 2
- Push event: 1
Last Year
- Delete event: 2
- Push event: 1
Dependencies
- PyInquirer ==1.0.3
- PySimpleGUI ==4.57.0
- cvxpy ==1.1.7
- imageio ==2.9.0
- matplotlib ==3.5.0
- numpy ==1.21.2
- opencv_python ==4.5.3.56
- pandas ==1.3.5
- prompt_toolkit ==1.0.14
- scikit_posthocs ==0.6.7
- scipy ==1.5.3
- seaborn ==0.11.2
- trackpy ==0.5.0
- PyYAML ==6.0
- cvxpy ==1.3.0
- fpdf2 ==2.6.1
- imageio ==2.23.0
- matplotlib ==3.5.3
- nd2 ==0.5.3
- numba ==0.56.4
- numpy ==1.21.5
- opencv_python ==4.7.0.68
- pandas ==1.3.5
- pydata-sphinx-theme ==0.13.0
- scikit_posthocs ==0.7.0
- scipy ==1.7.3
- scs ==3.2.2
- seaborn ==0.12.2
- sphinx ==5.3.0
- trackpy ==0.6.1