Bio-Formats image file format to raw format converter

Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.

Pythonic and parallelizable I/O for N-dimensional imaging data with OME metadata

Python API and CLI tools for working with WEBKNOSSOS datasets, annotations and server interactions. Includes converter to OME-Zarr.

A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.

A nextflow based tool that wraps bfconvert and bioformats2raw to convert image data collections to OME-TIFF and OME-Zarr, respectively, in a parallelised manner.

Project planning and material repository for the 2024 challenge to generate 1 PB of OME-Zarr data

ImageJ convenience layer for N5

Main tasks for the Fractal analytics platform

ITK IO for images stored in OME-Zarr format.

A collection of Image Processing and Analysis (IPA) functions used at the Facility for Advanced Imaging and Microscopy (FAIM)

Ome(ro) SLide Image Conversion and Compression pipline (OmeSliCC)

nextflow DSL2 pipeline (leveraging /[raw2ometiff](https://github.com/glencoesoftware/raw2ometiff)) to convert almost any images to ome.tiff/ome.zarr

Run encapsulated docker containers with BioFormats2Raw in the Amazon Web Services infrastructure.

Command line tool to convert MCD files to Zarr

Nextflow pipeline for converting images to OME-Zarr using bioformats2raw

A collection of fractal tasks to run plantseg workflows

Fractal tasks for the Opera/Operetta microscope and drug profiling

Converter from the Lif files (Leica Microscope) to OME-Zarr format.