zarrmony 0.1.4

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

zarrmony

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 a configurable user-metadata gate, mean-pool pyramid generation, and a full audit trail of the conversion.

By default each scene becomes its own self-describing <scene>.ome.zarr store under the output directory. The legacy bundled bioformats2raw.layout shape is opt-in via --layout bf2raw (CLI) or layout="bf2raw" (library).

Status: v0.1 in active development. API and metadata schema are not yet stable.

Install

pip install zarrmony

Optional 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

CZI, LIF, and ND2 reader plugins are included by default.

Usage

CLI

# Per-scene (default): writes one <scene>.ome.zarr store per scene under OUTPUT.
zarrmony convert input.czi output_dir/ --metadata-file metadata.json

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

zarrmony inspect input.czi
zarrmony schema dump > zarrmony-metadata.schema.json

Library

from zarrmony import convert, UserMetadata

# Per-scene (default): returns {"input": ..., "stores": [<per-store audit>, ...]}.
result = convert(
    "input.lif",
    "output_dir/",
    metadata=UserMetadata(...),
)

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

License

Apache-2.0. See LICENSE.