Multi-Well Plate (HCS)
This example demonstrates how to write a multi-well plate (HCS) dataset using ome_writers.
"""Basic example of using ome_writers to write OME HCS plate format."""
import sys
import numpy as np
from ome_writers import (
AcquisitionSettings,
Dimension,
Plate,
Position,
create_stream,
)
# Derive format/backend from command line argument (default: auto)
FORMAT = "auto" if len(sys.argv) < 2 else sys.argv[1]
# create acquisition settings
settings = AcquisitionSettings(
root_path="example_5d_plate",
# declare dimensions in order of acquisition (slowest to fastest)
dimensions=[
Dimension(name="t", count=2, chunk_size=1, type="time"),
Dimension(
name="p",
type="position",
# order should match stage position traversal during acquisition
coords=[
Position(name="fov0", plate_row="A", plate_column="1"),
Position(name="fov0", plate_row="A", plate_column="2"),
# note ... two fovs in same well
Position(name="fov0", plate_row="C", plate_column="4"),
Position(name="fov1", plate_row="C", plate_column="4"),
],
),
Dimension(name="c", count=3, chunk_size=1, type="channel"),
Dimension(name="z", count=4, chunk_size=1, type="space"),
Dimension(name="y", count=256, chunk_size=64, type="space"),
Dimension(name="x", count=256, chunk_size=64, type="space"),
],
dtype="uint16",
plate=Plate(
name="Example Plate",
row_names=["A", "B", "C", "D"],
column_names=["1", "2", "3", "4", "5", "6", "7", "8"],
),
overwrite=True,
format=FORMAT,
)
num_frames = np.prod(settings.shape[:-2])
frame_shape = settings.shape[-2:]
# create stream and write frames
with create_stream(settings) as stream:
for i in range(num_frames):
stream.append(np.full(frame_shape, fill_value=i, dtype=settings.dtype))
if settings.format.name == "ome-zarr":
import yaozarrs
yaozarrs.validate_zarr_store(settings.output_path)
print("✓ Zarr store is valid")