Installation

1. (Optional) Create a new environment

   conda create -n linc-convert python=3.11
   

2. (Optional) Activate the environment

   conda activate linc-convert
   

3. Install the linc-convert package in your environment

   pip install "linc-convert[all] @ git+https://github.com/lincbrain/linc-convert.git@main"
   

   If you don't want to install all dependencies, you can install the dependencies for your specific use case. Replace all in the above command with:
   • df for dark-field microscopy
   • lsm for light-sheet microscopy
   • psoct for polarization-sensitive optical coherence tomography
   • wk for Webknossos annotations
   • ts for the TensorStore backend
4. Run the command-line interface to ensure that installation was successful

   linc-convert --help