An image analysis tool for measuring microorganism colony growth
Project description
[![PyPI version](https://badge.fury.io/py/colonyscanalyser.svg)](https://pypi.org/project/colonyscanalyser/) [![Known Vulnerabilities](https://snyk.io//test/github/Erik-White/ColonyScanalyser/badge.svg?targetFile=requirements.txt)](https://snyk.io//test/github/Erik-White/ColonyScanalyser?targetFile=requirements.txt) [![GitHub](https://img.shields.io/github/license/erik-white/colonyscanalyser?color=blue)](https://github.com/Erik-White/ColonyScanalyser/blob/master/LICENSE)
# ColonyScanalyser
An image analysis tool for measuring microorganism colony growth.
ColonyScanalyser will analyse and collate statistical data from cell-culture plate images. It requires a series of images from a fixed point that show the development of microorganism colonies over time.
<img align=”right” src=”docs/images/growth_curve_small.png”>
ColonyScanalyser can provide information on: * Colony growth lag time (time of appearance) * Bimodal lag time distribution (comparing lag times of two colonies) * Colony area growth over time
By default, it will output a set of data and plots that summarize the information from all the plates in the image series. If you require further detail, such as plots of each individual plate, you can increase the save_plots command line argument.
## Getting Started
Install the [prerequisites](#prerequisites) and [package](#installing)
Locate your image series in a folder e.g. userimagesseries1
Run the analysis using ColonyScanalyser scanalyser userimagesseries1
There are various command line arguments that can alter the way the package is run. To see a list of arguments and information on each, run the command scanalyser –help
For example, to run the package ‘silently’ with no console output: scanalyser userimagesseries1 –verbose 0
### Prerequisites
[Python](https://www.python.org/) >=3.7
[Scikit-image](https://scikit-image.org/) >=0.15
Optionally use a virtual environment, such as [Pipenv](https://github.com/pypa/pipenv).
For testing: * [Pytest](https://pytest.org/) * [Pytest-cov](https://github.com/pytest-dev/pytest-cov/)
### Installing
#### Using pip Install Scikit-image (unless already installed) ` pip install scikit-image `
Install ColonyScanalyser ` pip install colonyscanalyser `
#### From github (requires [git](https://git-scm.com/) install) ` git clone https://github.com/erik-white/colonyscanalyser.git cd colonyscanalyser pip install -e . `
## Testing
Install the package with the extra test packages: pip install colonyscanalyser[test]
Run the tests: pytest –cov colonyscanalyser
## Contributing
Please read [CONTRIBUTING.md](docs/CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us.
## Versioning
We use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://github.com/erik-white/scanalyser/tags).
## License
This project is licensed under the GPLv3 - see the [LICENSE](LICENSE) file for details
## Acknowledgments
Levin-Reisman et al. for [their work](https://www.ncbi.nlm.nih.gov/pubmed/20676109) developing the ScanLag technique
[Fabio Zanini](https://github.com/iosonofabio/) for his original attempts at a Python implementation
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for colonyscanalyser-0.2.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b5be189577e268d398cc3901827f7cb9ce935d21a0073ace702728b9045196a1 |
|
MD5 | 3977154e6111ab5ae6be15e7fad8abc5 |
|
BLAKE2b-256 | 99f703f45d629f9833f0cb0520cbdc6e2d5e9067cf5a11b61a9287efaebcea2d |