Skip to main content

zarrmony

PyPI version Python versions License CI

Convert any bioimage file to OME-Zarr v0.5, preserving metadata.

Zarrmony reads proprietary microscopy formats (CZI, LIF, ND2, OME-TIFF, ...) via bioio and writes them as OME-Zarr v0.5, with mean-pool pyramid generation and a full audit trail of the conversion. User-supplied metadata (study/treatment/etc.) is not handled by zarrmony — it is owned by aperture-backend, which associates OME-Zarr stores to a separate metadata database.

By default (--layout auto) the writer is chosen from the reader's layout_hint: a flat reader writes one self-describing <scene>.ome.zarr store per scene under the output directory; a plate-shaped reader writes a single OME-NGFF HCS plate store at the output. The legacy bundled bioformats2raw.layout shape is opt-in via --layout bf2raw (CLI) or layout="bf2raw" (library).

Status: v0.9 in active development. API and metadata schema are not yet stable.

Install

pip install zarrmony

Readers

Zarrmony dispatches to a reader plugin per input format. They come in three tiers:

  • Built-in (bundled by default): CZI, LIF, ND2.
  • Optional extras in this repo (opt-in via pip install "zarrmony[<extra>]"): OME-TIFF via the ome-tiff extra.
  • External plugins (separate PyPI distributions, entry-point registered):
    • zarrmony-phenix — Opera Phenix (wraps pyphenix.OperaPhenixReader) — pip install zarrmony-phenix
    • zarrmony-blaze — Miltenyi UltraMicroscope Blaze (MACS iQ-processed) — pip install zarrmony-blaze
    • zarrmony-snouty — Snouty single-objective light-sheet — pip install zarrmony-snouty
    • zarrmony-smartspim — LifeCanvas SmartSPIM stitched exports — pip install zarrmony-smartspim

Extras

Extra Adds When you need it
gcs gcsfs Writing output to gs:// URIs
s3 s3fs Writing output to s3:// URIs
ome-tiff bioio-ome-tiff Reading OME-TIFF input
all All of the above
dev pytest, ruff, pre-commit Contributing

Usage

CLI

# Auto (default): dispatches on the reader's layout_hint.
#   flat readers (CZI, LIF, ND2, OME-TIFF) → per-scene stores under OUTPUT
#   plate-shaped readers (e.g. zarrmony-phenix) → a single HCS plate store at OUTPUT
zarrmony convert input.czi output_dir/

# Force per-scene (one <scene>.ome.zarr store per scene under OUTPUT).
zarrmony convert input.czi output_dir/ --layout per-scene

# Force HCS plate (one <plate>.ome.zarr store at OUTPUT). Requires a
# plate-shaped reader; flat readers raise LayoutMismatchError.
zarrmony convert phenix-acquisition/ output.ome.zarr --layout plate

# Bundled bioformats2raw.layout (opt-in): writes a single store at OUTPUT.
zarrmony convert input.czi output.ome.zarr --layout bf2raw

# LIF-specific: write one OME-Zarr per mosaic tile (with stage positions in
# <Plane>) instead of bioio-lif's auto-stitched 1-pixel-overlap output.
# See docs/adr/0005-lif-mosaic-write-strategy.md.
zarrmony convert mosaic.lif output_dir/ --lif-mosaic per-tile

zarrmony inspect input.czi

Library

from zarrmony import convert

# Auto (default): for a flat reader, returns {"input": ..., "stores": [...]};
# for a plate-shaped reader, returns the single plate audit dict (schema 3,
# with "fields" and a top-level "plate" block). Switch on audit["layout"].
result = convert("input.lif", "output_dir/")

# Bundled: returns the single bundle's audit dict.
audit = convert("input.lif", "output.ome.zarr", layout="bf2raw")

# HCS plate: writes one OME-NGFF plate store at OUTPUT.
audit = convert("phenix-acquisition/", "output.ome.zarr", layout="plate")

Extending zarrmony

Add support for a new bioimage format by writing a reader plugin. See Writing a zarrmony reader plugin for the Reader Protocol, matcher conventions, entry-point registration, and a worked example.

License

Apache-2.0. See LICENSE.

Download files

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

Source Distribution

zarrmony-0.14.0.tar.gz (545.0 kB view details)

Uploaded Source

Built Distribution

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

zarrmony-0.14.0-py3-none-any.whl (125.7 kB view details)

Uploaded Python 3

File details

Details for the file zarrmony-0.14.0.tar.gz.

File metadata

  • Download URL: zarrmony-0.14.0.tar.gz
  • Upload date:
  • Size: 545.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for zarrmony-0.14.0.tar.gz
Algorithm Hash digest
SHA256 850ae6a8b1c9126142518329b17b2d14c78485e58238b18befad9926bb4a3951
MD5 06a25712e10c7b70c90a3a2529f92008
BLAKE2b-256 71907419f47e5be1fa5b59a231b648bf90cdac0cdaf4c1fd77cb468b5879ab18

See more details on using hashes here.

Provenance

The following attestation bundles were made for zarrmony-0.14.0.tar.gz:

Publisher: release.yml on ferrinm/zarrmony

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

File details

Details for the file zarrmony-0.14.0-py3-none-any.whl.

File metadata

  • Download URL: zarrmony-0.14.0-py3-none-any.whl
  • Upload date:
  • Size: 125.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for zarrmony-0.14.0-py3-none-any.whl
Algorithm Hash digest
SHA256 45b129fd2e3aa6ef4256730bd14b7d48c81dd8c729464d5aee8f90159fcfa033
MD5 36ba6b2c7d2420ca8eacabff8b5f3c2a
BLAKE2b-256 32be84c7c2753a67880ffa614b52c901440a66abca51a9bfa03d618f41dff3d4

See more details on using hashes here.

Provenance

The following attestation bundles were made for zarrmony-0.14.0-py3-none-any.whl:

Publisher: release.yml on ferrinm/zarrmony

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

Release history Release notifications | RSS feed

0.15.0

2 files

This release

0.14.0 This release

2 files

0.13.0

2 files

0.12.0

2 files

0.11.0

2 files

0.10.0

2 files

0.9.0

2 files

0.8.0

2 files

0.7.1

2 files

0.7.0

2 files

0.6.0

2 files

0.5.0

2 files

0.4.1

2 files

0.4.0

2 files

0.3.6

2 files

0.3.5

2 files

0.3.4

2 files

0.3.3

2 files

0.3.2

2 files

0.3.1

2 files

0.3.0

2 files

0.2.1

2 files

0.2.0

2 files

0.1.4

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page