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ndbioimage/py/ndbioimage/readers/metaseriesread.py
Wim Pomp 83ea9722f6 - some workarounds to get jars and shared libs in the right place for python
- add most ndbioimage python code and use rs code as bfread
2025-02-16 23:03:48 +01:00

81 lines
2.7 KiB
Python

import re
from abc import ABC
from pathlib import Path
from typing import Optional
import tifffile
from ome_types import model
from ome_types.units import _quantity_property # noqa
from .. import AbstractReader
class Reader(AbstractReader, ABC):
priority = 20
do_not_pickle = 'last_tif'
@staticmethod
def _can_open(path):
return isinstance(path, Path) and (path.is_dir() or
(path.parent.is_dir() and path.name.lower().startswith('pos')))
@staticmethod
def get_positions(path: str | Path) -> Optional[list[int]]:
pat = re.compile(rf's(\d)_t\d+\.(tif|TIF)$')
return sorted({int(m.group(1)) for file in Path(path).iterdir() if (m := pat.search(file.name))})
def get_ome(self):
ome = model.OME()
tif = self.get_tif(0)
metadata = tif.metaseries_metadata
size_z = len(tif.pages)
page = tif.pages[0]
shape = {axis.lower(): size for axis, size in zip(page.axes, page.shape)}
size_x, size_y = shape['x'], shape['y']
ome.instruments.append(model.Instrument())
size_c = 1
size_t = max(self.filedict.keys()) + 1
pixel_type = f"uint{metadata['PlaneInfo']['bits-per-pixel']}"
ome.images.append(
model.Image(
pixels=model.Pixels(
size_c=size_c, size_z=size_z, size_t=size_t,
size_x=size_x, size_y=size_y,
dimension_order='XYCZT', type=pixel_type),
objective_settings=model.ObjectiveSettings(id='Objective:0')))
return ome
def open(self):
pat = re.compile(rf's{self.series}_t\d+\.(tif|TIF)$')
filelist = sorted([file for file in self.path.iterdir() if pat.search(file.name)])
pattern = re.compile(r't(\d+)$')
self.filedict = {int(pattern.search(file.stem).group(1)) - 1: file for file in filelist}
if len(self.filedict) == 0:
raise FileNotFoundError
self.last_tif = 0, tifffile.TiffFile(self.filedict[0])
def close(self) -> None:
self.last_tif[1].close()
def get_tif(self, t: int = None):
last_t, tif = self.last_tif
if (t is None or t == last_t) and not tif.filehandle.closed:
return tif
else:
tif.close()
tif = tifffile.TiffFile(self.filedict[t])
self.last_tif = t, tif
return tif
def __frame__(self, c=0, z=0, t=0):
tif = self.get_tif(t)
page = tif.pages[z]
if page.axes.upper() == 'YX':
return page.asarray()
elif page.axes.upper() == 'XY':
return page.asarray().T
else:
raise NotImplementedError(f'reading axes {page.axes} is not implemented')