/pacqproc

Post-acquisition processing pipelines for light-sheet microscopy

Primary LanguagePython

pacqproc

Post-acquisition processing pipelines for light-sheet microscopy

This script is for performing routine post-acquisition processing of raw images obtained from light-sheet microscopes. The pipeline is built on Snakemake and each step relies on other scripts developed in Chung Lab.

Installation

conda create -n pacqproc --file environment.yaml

This command will create an isolated conda environment named pacqproc and install all the dependencies listed in environment.yaml.

Running the pipeline

Configuration

Please edit config.yaml to configure the pipeline. You can specify which workflow to use, data path, channels, labels, and so forth.

Running Snakefile

snakemake -j

This will simply run all the necessary steps with all available cores. If you want to limit the number of cores, use -c [#cores] flag instead of -j.

Please refer to this for more complicated options.