Getting Started#
Install#
Install iohub from PyPI:
pip install iohub
Command-line interface#
To check if iohub works for a dataset:
iohub info /path/to/data/
The CLI can show a summary of the dataset,
point to relevant Python calls,
and convert other data formats to the latest OME-Zarr.
See the full CLI help message by typing iohub
or iohub [command] --help
in the terminal.
Why iohub?#
This project is inspired by the existing Python libraries for bioimaging data I/O, including ome-zarr-py, tifffile and aicsimageio. They support some of the most widely adopted and/or promising formats in microscopy, such as OME-Zarr and OME-Tiff.
iohub bridges the gaps among them with the following features:
Efficient reading of data in various TIFF-based formats produced by the Micro-Manager/Pycro-Manager acquisition stack.
Efficient and customizable conversion of data and metadata from Tiff to OME-Zarr.
Pythonic and atomic access of OME-Zarr data with parallelized analysis in mind.
OME-Zarr metadata is automatically constructed and updated for writing, and verified against the specification when reading.
Adherence to the latest OME-NGFF specification (v0.4) whenever possible.