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* Refactor and extend reaction station action messages * Refactor dispensing station tasks to enhance parameter clarity and add batch processing capabilities - Updated `create_90_10_vial_feeding_task` to include detailed parameters for 90%/10% vial feeding, improving clarity and usability. - Introduced `create_batch_90_10_vial_feeding_task` for batch processing of 90%/10% vial feeding tasks with JSON formatted input. - Added `create_batch_diamine_solution_task` for batch preparation of diamine solution, also utilizing JSON formatted input. - Refined `create_diamine_solution_task` to include additional parameters for better task configuration. - Enhanced schema descriptions and default values for improved user guidance.
Uni-Lab-OS
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Uni-Lab-OS is a platform for laboratory automation, designed to connect and control various experimental equipment, enabling automation and standardization of experimental workflows.
🏆 Competition
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Key Features
- Multi-device integration management
- Automated experimental workflows
- Cloud connectivity capabilities
- Flexible configuration system
- Support for multiple experimental protocols
Documentation
Detailed documentation can be found at:
Quick Start
Uni-Lab-OS recommends using mamba for environment management. Choose the appropriate environment file for your operating system:
# Create new environment
mamba create -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
Install Dev Uni-Lab-OS
# Clone the repository
git clone https://github.com/dptech-corp/Uni-Lab-OS.git
cd Uni-Lab-OS
# Install Uni-Lab-OS
pip install .
- Start Uni-Lab System:
Please refer to Documentation - Boot Examples
Message Format
Uni-Lab-OS uses pre-built unilabos_msgs for system communication. You can find the built versions on the GitHub Releases page.
License
This project is licensed under GPL-3.0 - see the LICENSE file for details.
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Contact Us
- GitHub Issues: https://github.com/dptech-corp/Uni-Lab-OS/issues
Languages
Python
86%
Jupyter Notebook
10.7%
HTML
2.6%
Shell
0.2%
CSS
0.2%
Other
0.2%
