Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.
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Updated
Feb 11, 2025 - Python
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Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.
A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.
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 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
Main tasks for the Fractal analytics platform
A collection of Image Processing and Analysis (IPA) functions used at the Facility for Advanced Imaging and Microscopy (FAIM)
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A Python-based tool for parallelized conversion of image datasets from various formats to OME-Zarr, with support for distributed processing and multi-dimensional concatenation.
Run encapsulated docker containers with BioFormats2Raw in the Amazon Web Services infrastructure.
A collection of fractal tasks to run plantseg workflows
Fractal tasks for the Opera/Operetta microscope and drug profiling
A collection of fractal tasks to convert HCS Plates to OME-Zarr
Simple converter from the drogon plate format to OME-Zarr
Tooling to build ome-zarr plate converters
Converter from the Lif files (Leica Microscope) to OME-Zarr format.
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