Skip to main content

A collection of fractal tasks to convert HCS Plates to OME-Zarr

Project description

Fractal UZH Converters

CI (build and test) codecov

A collection of Fractal tasks to convert High-Content Screening (HCS) plate data from several microscopes into OME-Zarr format.

Tasks

Task Use case
Convert Operetta Plate to OME-Zarr Operetta / Opera Phenix (Revvity) HCS plates.
Convert Evident ScanR Plate to OME-Zarr ScanR (Evident) HCS plates.
Convert Yokogawa CQ3K Plate to OME-Zarr CQ3K (Yokogawa) HCS plates.
Convert Yokogawa CellVoyager Plate to OME-Zarr CellVoyager (Yokogawa) HCS plates.
Convert MD ImageXpress HCS.ai Plate to OME-Zarr ImageXpress HCS.ai (Molecular Devices) HCS plates.
Convert Custom TIFF HCS Plate to OME-Zarr Custom TIFF HCS plates from any source.
Convert Custom TIFF Images to OME-Zarr Custom TIFF single images from any source.

Each task is a Fractal compound task: an init step parses the microscope metadata and builds the parallelization list, and a compute step writes the image data well-by-well (or image-by-image).

Installation

pip install fractal-uzh-converters

Part of the OME-Zarr converters ecosystem

This converter is a thin, format-specific layer built on ome-zarr-converters-tools, the shared engine that handles tiling, image registration, and OME-Zarr writing for the whole Fractal converter family. Because they all share that engine, every converter offers the same options, behavior, and development workflow.

Sibling converters built on the same tooling:

Documentation

Full documentation — including the supported file layouts, all converter parameters, and the condition-table format — is available at https://fractal-analytics-platform.github.io/fractal-uzh-converters/.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fractal_uzh_converters-0.7.0.tar.gz (182.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fractal_uzh_converters-0.7.0-py3-none-any.whl (93.4 kB view details)

Uploaded Python 3

File details

Details for the file fractal_uzh_converters-0.7.0.tar.gz.

File metadata

  • Download URL: fractal_uzh_converters-0.7.0.tar.gz
  • Upload date:
  • Size: 182.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for fractal_uzh_converters-0.7.0.tar.gz
Algorithm Hash digest
SHA256 331a0be0bbdaf4c4f8316d8687c9d4eaa6f91ea993c660c3cd925b65d3eed7e3
MD5 7288e8de2ec38995ca773c573fa158e3
BLAKE2b-256 7935e2ad5b9c581a0bd23779fabaf098d07788aec49ceefee2ff5043564a265a

See more details on using hashes here.

Provenance

The following attestation bundles were made for fractal_uzh_converters-0.7.0.tar.gz:

Publisher: build_and_test.yml on fractal-analytics-platform/fractal-uzh-converters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file fractal_uzh_converters-0.7.0-py3-none-any.whl.

File metadata

File hashes

Hashes for fractal_uzh_converters-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f73024a1162390b141fc218e5bb7b8602831556c9d4ab61db9ad6df69da4fc0d
MD5 b70964e30abd65b1a5ed67697952b22f
BLAKE2b-256 640c92171d0c186256f30f13a1b1421b40b7fd4eaa0992094c8673143c81deb6

See more details on using hashes here.

Provenance

The following attestation bundles were made for fractal_uzh_converters-0.7.0-py3-none-any.whl:

Publisher: build_and_test.yml on fractal-analytics-platform/fractal-uzh-converters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page