smart_microfluidic

Implementation of a data-driven solution for smart microfluidics applications.

What's in Here?

Here you can find the code associated to the project.

• developer's directories are all the directories starting with an underscore such as _models, _include etc... They contain auxiliary materials that enable online deployment of the project. In particular:
  • _models contains different machine learning models (as pickle files) used for the data-driven application. These models have been extensively validated (wet-lab validation).
  • _include contains icons, badges, warning messages, auxiliary data, etc...
• data contains the dataset we used for building and training the models.
• requirements.txt contains the list of requirements needed to run the code.
• smart_microfluidics.py is the overall script that incorporates data visualization tools and the proposed models. This script is associated to the app: smart-microfluidics.streamlit.app.
• config.py is a configuration file to set up paths needed in the streamlit app.
• LICENSE GNU Affero General Public License.

Use this repository

If you want to use the code in this repository in your projects, please cite explicitely our work, and

• Clone the repository with git clone https://github.com/leonardoLavagna/smart_microfluidics
• Install the requirements with pip install -r requirements.txt

Clearly you can also simply use the app: smart-microfluidics.streamlit.app.

Contributing

We welcome contributions to enhance the functionality and performance of the models. Please submit pull requests or open issues for any improvements or bug fixes.

License

This project is licensed under the GNU Affero General Public License.