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commit fac2c13
Author: Ivan Ivanov <ivan.ivanov@czbiohub.org>
Date:   Tue Apr 9 11:25:36 2024 -0700

    Fix bug reading dragonfly acquisitions (#215)

    * fix bug reading dragonfly acquisitions

    * fix typo

    * style

    * bugfix

commit 0c6984e
Author: Ivan Ivanov <ivan.ivanov@czbiohub.org>
Date:   Mon Mar 11 12:35:51 2024 -0700

    Fix bug determining number of rows and cols (#214)

    * fix bug determining number of rows and cols

    * add another XY Stage variation

    * add docs and fix style

commit 3ab89ba
Author: Ziwen Liu <67518483+ziw-liu@users.noreply.github.com>
Date:   Mon Mar 4 11:02:49 2024 -0800

    Universal API implementations for Micro-Manager OME-TIFF and NDTiff (#185)

    * wip: draft mmstack ome-tiff fov

    * MM FOV base class

    * tests

    * bump tifffile

    * comment

    * fix indent after rebase

    * use get default

    * test pixel indexing

    * set MM metadata

    * style

    * update dependencies

    * add xarray

    * move old readers to the `_deprecated` namespace

    * uapi for ndtiff

    * refactor test setup to parametrize by dataset
    use globals instead of fixtures since parametrization happens before fixture evaluation

    * convert mmstack

    * fix and test chunking

    * fix metadata conversion and test ndtiff

    * update cli

    * fix scaling

    * test 1.4 and incomplete ome-tiffs

    * move reader tests

    * deprecate reader tests

    * update deprecated tests

    * update ngff tests

    * isort

    * update black target to 3.10

    * lint

    * fix download paths

    * update docs references and theme

    * untrack autogenerated file

    * ignore execution time file

    * add github icon

    * update docstring

    * update docstring

    * show channel names and chunk size in info

    * print plate chunk size if verbose

    * fallback for pixel size

    * remove log level setting

    * do not filter logs and warnings in reader

    * avoid root logger

    * isort

    * set default logging level to INFO

    * format docstring

    * improve conversion messages

    * black

    * fix ome-tiff channel name indexing

    * fix ndtiff channel name indexing

    * update converter test

    * remove use of os.path in `reader`

    * expand _check_ndtiff checks

    * fix iteration

    * fix python 3.10

    using `Path.glob(*/)` to get subdirs was added in 3.11

    * bump zarr version to include resizing fix
    zarr-developers/zarr-python#1540

    * fix cli default

    * set log level with an environment variable

    * fix unset

    * catch non-existent page

    * implement fallback for incomplete channel names
    workaround for the Dragonfly microscope where the multi-camera setup only has one channel name written

    * add debug logs

    * handle virtual frames

    * try reading pages from TiffFile directly

    * filter error logs about ImageJ metadata being broken
    this is a known MM limitation when writing OME-TIFFs

    * fix regex

    * remove use of os.path in `convert.py`

    * better channel indexing in `_get_summary_metadata`

    * style

    * safer NoneType check

    * private default axis names for NDTiff

    * update documentation to reflect new entry point

    * add repr to MM FOV and dataset types

    * rename mm_meta and expose summary metadata

    * add MicroManagerFOVMapping.root

    * add MicroManagerFOVMapping.zyx_scale

    * add warning log for failed position grid

    * fix grid layout

    * suppress hypothesis flakiness

    * different health check suppression

    ---------

    Co-authored-by: Ivan Ivanov <ivan.ivanov@czbiohub.org>
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ieivanov committed Apr 15, 2024
1 parent 0468367 commit 3f00215
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4 changes: 2 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -100,9 +100,9 @@ and the [example scripts](https://github.com/czbiohub-sf/iohub/tree/main/example
Read a directory containing a TIFF dataset:

```py
from iohub import read_micromanager
from iohub import read_images

reader = read_micromanager("/path/to/data/")
reader = read_images("/path/to/data/")
print(reader.shape)
```

Expand Down
10 changes: 7 additions & 3 deletions iohub/_deprecated/reader_base.py
Original file line number Diff line number Diff line change
Expand Up @@ -30,17 +30,21 @@ def shape(self):
return self.frames, self.channels, self.slices, self.height, self.width

@property
def mm_meta(self):
def micromanager_metadata(self) -> dict | None:
return self._mm_meta

@mm_meta.setter
def mm_meta(self, value):
@micromanager_metadata.setter
def micromanager_metadata(self, value):
if not isinstance(value, dict):
raise TypeError(
f"Type of `mm_meta` should be `dict`, got `{type(value)}`."
)
self._mm_meta = value

@property
def micromanager_summary(self) -> dict | None:
return self._mm_meta.get("Summary", None)

@property
def stage_positions(self):
return self._stage_positions
Expand Down
40 changes: 20 additions & 20 deletions iohub/_deprecated/singlepagetiff.py
Original file line number Diff line number Diff line change
Expand Up @@ -91,9 +91,9 @@ def _set_mm_meta(self, one_pos):
# pull one metadata sample and extract experiment dimensions
metadata_path = os.path.join(one_pos, "metadata.txt")
with open(metadata_path, "r") as f:
self.mm_meta = json.load(f)
self._mm_meta = json.load(f)

mm_version = self.mm_meta["Summary"]["MicroManagerVersion"]
mm_version = self._mm_meta["Summary"]["MicroManagerVersion"]
if mm_version == "1.4.22":
self._mm1_meta_parser()
elif "beta" in mm_version:
Expand Down Expand Up @@ -402,12 +402,12 @@ def _mm1_meta_parser(self):
-------
"""
self.z_step_size = self.mm_meta["Summary"]["z-step_um"]
self.width = self.mm_meta["Summary"]["Width"]
self.height = self.mm_meta["Summary"]["Height"]
self.frames = self.mm_meta["Summary"]["Frames"]
self.slices = self.mm_meta["Summary"]["Slices"]
self.channels = self.mm_meta["Summary"]["Channels"]
self.z_step_size = self._mm_meta["Summary"]["z-step_um"]
self.width = self._mm_meta["Summary"]["Width"]
self.height = self._mm_meta["Summary"]["Height"]
self.frames = self._mm_meta["Summary"]["Frames"]
self.slices = self._mm_meta["Summary"]["Slices"]
self.channels = self._mm_meta["Summary"]["Channels"]

def _mm2beta_meta_parser(self):
"""
Expand All @@ -418,14 +418,14 @@ def _mm2beta_meta_parser(self):
-------
"""
self.z_step_size = self.mm_meta["Summary"]["z-step_um"]
self.z_step_size = self._mm_meta["Summary"]["z-step_um"]
self.width = int(
self.mm_meta["Summary"]["UserData"]["Width"]["PropVal"]
self._mm_meta["Summary"]["UserData"]["Width"]["PropVal"]
)
self.height = int(
self.mm_meta["Summary"]["UserData"]["Height"]["PropVal"]
self._mm_meta["Summary"]["UserData"]["Height"]["PropVal"]
)
self.time_stamp = self.mm_meta["Summary"]["StartTime"]
self.time_stamp = self._mm_meta["Summary"]["StartTime"]

def _mm2gamma_meta_parser(self):
"""
Expand All @@ -436,18 +436,18 @@ def _mm2gamma_meta_parser(self):
-------
"""
keys_list = list(self.mm_meta.keys())
keys_list = list(self._mm_meta.keys())
if "FrameKey-0-0-0" in keys_list[1]:
roi_string = self.mm_meta[keys_list[1]]["ROI"]
roi_string = self._mm_meta[keys_list[1]]["ROI"]
self.width = int(roi_string.split("-")[2])
self.height = int(roi_string.split("-")[3])
elif "Metadata-" in keys_list[2]:
self.width = self.mm_meta[keys_list[2]]["Width"]
self.height = self.mm_meta[keys_list[2]]["Height"]
self.width = self._mm_meta[keys_list[2]]["Width"]
self.height = self._mm_meta[keys_list[2]]["Height"]
else:
raise ValueError("Metadata file incompatible with metadata reader")

self.z_step_size = self.mm_meta["Summary"]["z-step_um"]
self.frames = self.mm_meta["Summary"]["Frames"]
self.slices = self.mm_meta["Summary"]["Slices"]
self.channels = self.mm_meta["Summary"]["Channels"]
self.z_step_size = self._mm_meta["Summary"]["z-step_um"]
self.frames = self._mm_meta["Summary"]["Frames"]
self.slices = self._mm_meta["Summary"]["Slices"]
self.channels = self._mm_meta["Summary"]["Channels"]
24 changes: 12 additions & 12 deletions iohub/_deprecated/zarrfile.py
Original file line number Diff line number Diff line change
Expand Up @@ -95,7 +95,7 @@ def __init__(
try:
self._set_mm_meta()
except TypeError:
self.mm_meta = dict()
self.micromanager_metadata = {}

self._generate_hcs_meta()

Expand Down Expand Up @@ -188,37 +188,37 @@ def _set_mm_meta(self):
-------
"""
self.mm_meta = self.root.attrs.get("Summary")
mm_version = self.mm_meta["MicroManagerVersion"]
self._mm_meta = self.root.attrs.get("Summary")
mm_version = self._mm_meta["MicroManagerVersion"]

if mm_version != "pycromanager":
if "beta" in mm_version:
if self.mm_meta["Positions"] > 1:
if self._mm_meta["Positions"] > 1:
self.stage_positions = []

for p in range(len(self.mm_meta["StagePositions"])):
for p in range(len(self._mm_meta["StagePositions"])):
pos = self._simplify_stage_position_beta(
self.mm_meta["StagePositions"][p]
self._mm_meta["StagePositions"][p]
)
self.stage_positions.append(pos)

# elif mm_version == '1.4.22':
# for ch in self.mm_meta['ChNames']:
# for ch in self._mm_meta['ChNames']:
# self.channel_names.append(ch)
else:
if self.mm_meta["Positions"] > 1:
if self._mm_meta["Positions"] > 1:
self.stage_positions = []

for p in range(self.mm_meta["Positions"]):
for p in range(self._mm_meta["Positions"]):
pos = self._simplify_stage_position(
self.mm_meta["StagePositions"][p]
self._mm_meta["StagePositions"][p]
)
self.stage_positions.append(pos)

# for ch in self.mm_meta['ChNames']:
# for ch in self._mm_meta['ChNames']:
# self.channel_names.append(ch)

self.z_step_size = self.mm_meta["z-step_um"]
self.z_step_size = self._mm_meta["z-step_um"]

def _get_channel_names(self):
well = self.hcs_meta["plate"]["wells"][0]["path"]
Expand Down
43 changes: 28 additions & 15 deletions iohub/convert.py
Original file line number Diff line number Diff line change
Expand Up @@ -118,9 +118,7 @@ def __init__(
f"Reader type {reader_type} not supported for conversion."
)
_logger.debug("Finished initializing data.")
self.summary_metadata = (
self.reader.mm_meta["Summary"] if self.reader.mm_meta else None
)
self.summary_metadata = self.reader.micromanager_summary
self.save_name = output_dir.name
_logger.debug("Getting dataset summary information.")
self.coord_map = dict()
Expand Down Expand Up @@ -152,7 +150,8 @@ def __init__(
self.position_grid = _create_grid_from_coordinates(
*self._get_position_coords()
)
except ValueError:
except ValueError as e:
_logger.warning(f"Failed to generate grid layout: {e}")
self._make_default_grid()
else:
self._make_default_grid()
Expand Down Expand Up @@ -181,27 +180,41 @@ def _make_default_grid(self):
)

def _get_position_coords(self):
row_max = 0
col_max = 0
coords_list = []
"""Get the position coordinates from the reader metadata.
Raises:
ValueError: If stage positions are not available.
Returns:
list: XY stage position coordinates.
int: Number of grid rows.
int: Number of grid columns.
"""
rows = set()
cols = set()
xy_coords = []

# TODO: read rows, cols directly from XY corods
# TODO: account for non MM2gamma meta?
if not self.reader.stage_positions:
raise ValueError("Stage positions not available.")
for idx, pos in enumerate(self.reader.stage_positions):
stage_pos = pos.get("XYStage")
stage_pos = (
pos.get("XYStage") or pos.get("XY") or pos.get("XY Stage")
)
if stage_pos is None:
raise ValueError(
f"Stage position is not available for position {idx}"
)
coords_list.append(pos["XYStage"])
row = pos["GridRow"]
col = pos["GridCol"]
row_max = row if row > row_max else row_max
col_max = col if col > col_max else col_max
xy_coords.append(stage_pos)
try:
rows.add(pos["GridRow"])
cols.add(pos["GridCol"])
except KeyError:
raise ValueError(
f"Grid indices not available for position {idx}"
)

return coords_list, row_max + 1, col_max + 1
return xy_coords, len(rows), len(cols)

def _get_pos_names(self):
"""Append a list of pos names in ascending order
Expand Down
39 changes: 36 additions & 3 deletions iohub/mm_fov.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,8 @@

from pathlib import Path

from xarray import DataArray

from iohub.fov import BaseFOV, BaseFOVMapping


Expand All @@ -10,6 +12,14 @@ def __init__(self, parent: MicroManagerFOVMapping, key: int) -> None:
self._position = key
self._parent = parent

def __repr__(self) -> str:
return (
f"Type: {type(self)}\n"
f"Parent: {self.parent}\n"
f"FOV key: {self._position}\n"
f"Data:\n"
) + self.xdata.__repr__()

@property
def parent(self) -> MicroManagerFOVMapping:
return self._parent
Expand All @@ -26,6 +36,10 @@ def zyx_scale(self) -> tuple[float, float, float]:
def channel_names(self) -> list[str]:
return self.parent.channel_names

@property
def xdata(self) -> DataArray:
raise NotImplementedError

def frame_metadata(self, t: int, z: int, c: int) -> dict | None:
"""
Return image plane metadata for a given camera frame.
Expand All @@ -49,22 +63,36 @@ def frame_metadata(self, t: int, z: int, c: int) -> dict | None:

class MicroManagerFOVMapping(BaseFOVMapping):
def __init__(self):
self._root: Path = None
self._mm_meta: dict = None
self._stage_positions: list[dict[str, str | float]] = []
self.channel_names: list[str] = None

def __repr__(self) -> str:
return (f"Type: {type(self)}\nData:\n") + self.xdata.__repr__()

@property
def mm_meta(self):
def root(self) -> Path:
"""Root directory of the dataset."""
return self._root

@property
def micromanager_metadata(self) -> dict | None:
return self._mm_meta

@mm_meta.setter
def mm_meta(self, value):
@micromanager_metadata.setter
def micromanager_metadata(self, value):
if not isinstance(value, dict):
raise TypeError(
f"Type of `mm_meta` should be `dict`, got `{type(value)}`."
)
self._mm_meta = value

@property
def micromanager_summary(self) -> dict | None:
"""Micro-manager summary metadata."""
return self._mm_meta.get("Summary", None)

@property
def stage_positions(self):
return self._stage_positions
Expand Down Expand Up @@ -117,3 +145,8 @@ def hcs_position_labels(self):
"'A1-Site_0', 'H12-Site_1', or '1-Pos000_000' "
f"Got labels {labels}"
)

@property
def zyx_scale(self) -> tuple[float, float, float]:
"""ZXY pixel size in micrometers."""
raise NotImplementedError
19 changes: 10 additions & 9 deletions iohub/mmstack.py
Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@
import dask.array as da
import numpy as np
import zarr
from natsort import natsorted
from numpy.typing import ArrayLike
from tifffile import TiffFile
from xarray import DataArray
Expand Down Expand Up @@ -94,8 +95,8 @@ def __init__(self, data_path: StrOrBytesPath):
super().__init__()
data_path = Path(data_path)
first_file = find_first_ome_tiff_in_mmstack(data_path)
self.root = first_file.parent
self.dirname = self.root.name
self._root = first_file.parent
self.dirname = self._root.name
self._first_tif = TiffFile(first_file, is_mmstack=True)
_logger.debug(f"Parsing {first_file} as MMStack.")
with catch_warnings():
Expand Down Expand Up @@ -140,6 +141,8 @@ def _parse_data(self):
"smaller than the number of channels. "
f"Completing with fallback names: {self.channel_names}."
)
# not all positions in the position list may have been acquired
xarr = xarr[: self.positions]
xarr.coords["C"] = self.channel_names
xset = xarr.to_dataset(dim="R")
self._xdata = xset
Expand All @@ -150,7 +153,7 @@ def xdata(self):
return self._xdata

def __len__(self) -> int:
return self.positions
return len(self.xdata.keys())

def __getitem__(self, key: str | int) -> MMOmeTiffFOV:
key = _normalize_mm_pos_key(key)
Expand Down Expand Up @@ -218,15 +221,14 @@ def _set_mm_meta(self, mm_meta: dict) -> None:
mm_version == "2.0.1 20220920"
and self._mm_meta["Summary"]["Prefix"] == "raw_data"
):
file_names = set(
[(key[0], val[0]) for key, val in self.coord_map.items()]
)
files = natsorted(self.root.glob("*.ome.tif"))
self.positions = len(files) # not all positions are saved

if self._mm_meta["Summary"]["Positions"] > 1:
self._stage_positions = [None] * self.positions

for p_idx, file_name in file_names:
site_idx = int(file_name.split("_")[-1].split("-")[0])
for p_idx, file_name in enumerate(files):
site_idx = int(str(file_name).split("_")[-1].split("-")[0])
pos = self._simplify_stage_position(
self._mm_meta["Summary"]["StagePositions"][site_idx]
)
Expand Down Expand Up @@ -380,7 +382,6 @@ def _infer_image_meta(self) -> None:

@property
def zyx_scale(self) -> tuple[float, float, float]:
"""ZXY pixel size in micrometers."""
return (
self._z_step_size,
self._xy_pixel_size,
Expand Down
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