feat: read Bioformats2raw

[srivarra]

You can open a bf2raw Zarr like it's a HCS plate:

from iohub.ngff import open_ome_zarr

bf2raw_data = "/hpc/instruments/cm.automaton/livescreen/2026_04_30_proj_ang_len_sweep/argolight_bullseye/pa_10_pl_2_20260430_192137/data.ome.zarr"

with open_ome_zarr(bf2raw_data) as dataset:
    print(f"{len(dataset)} series, channels: {dataset.channel_names}")
    for name, pos in dataset.positions():
        arr = pos["0"]
        print(name, arr.shape, arr.dtype)

iohub info -v <path to bf2raw.ome.zarr> also works and lists out the positions.