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I am trying to stitch and register MACSima raw data, I was able to use ASHLAR without any issue using the docker image from version 1.14, however QuPath does not recognize the pyramid format, it sees the image as a series of levels instead of a pyramid, which usually works well.
Then I tried to use the docker image of version 1.17, however as you see below it runs into an error.
am I committing a formating mistake? or is it just missing the package?
Happy to provide more info if needed.
Best,
Jose
docker run \
> -v "/mnt/y/Sonja/mIF03/MICS_2023-03-07_22-23-50_230307_mIF03_Tonsil_PPS_glass/ashlar/ROI_2":/input \
> -v "/mnt/y/Sonja/mIF03/MICS_2023-03-07_22-23-50_230307_mIF03_Tonsil_PPS_glass/ashlar_output":/output \
> -it labsyspharm/ashlar:1.17.0 ashlar \
> -o "ashlar_all_v1_17.ome.tif" \
> --align-channel 0 \
> "fileseries|/input|pattern=ROI_2_Cycle_000_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> "fileseries|/input|pattern=ROI_2_Cycle_001_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> "fileseries|/input|pattern=ROI_2_Cycle_002_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> "fileseries|/input|pattern=ROI_2_Cycle_003_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> "fileseries|/input|pattern=ROI_2_Cycle_004_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> "fileseries|/input|pattern=ROI_2_Cycle_005_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> "fileseries|/input|pattern=ROI_2_Cycle_006_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> "fileseries|/input|pattern=ROI_2_Cycle_007_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> "fileseries|/input|pattern=ROI_2_Cycle_008_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> "fileseries|/input|pattern=ROI_2_Cycle_009_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> "fileseries|/input|pattern=ROI_2_Cycle_010_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> "fileseries|/input|pattern=ROI_2_Cycle_011_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> "fileseries|/input|pattern=ROI_2_Cycle_012_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical" \
> --maximum-shift 50 \
> --tile-size 512 \
> --pyramid
Stitching and registering input images
Cycle 0:
reading fileseries|/input|pattern=ROI_2_Cycle_000_Channel_{channel:1}_Frame_{series:3}.tif|width=6|height=7|overlap=0.075|pixel_size=0.17|layout=snake|direction=vertical
Traceback (most recent call last):
File "/usr/local/bin/ashlar", line 8, in <module>
sys.exit(main())
File "/usr/local/lib/python3.10/dist-packages/ashlar/scripts/ashlar.py", line 212, in main
return process_single(
File "/usr/local/lib/python3.10/dist-packages/ashlar/scripts/ashlar.py", line 237, in process_single
reader = build_reader(filepaths[0], plate_well=plate_well)
File "/usr/local/lib/python3.10/dist-packages/ashlar/scripts/ashlar.py", line 358, in build_reader
reader = reader_class(path, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/ashlar/fileseries.py", line 180, in __init__
self.metadata = FileSeriesMetadata(
File "/usr/local/lib/python3.10/dist-packages/ashlar/fileseries.py", line 54, in __init__
self._enumerate_tiles()
File "/usr/local/lib/python3.10/dist-packages/ashlar/fileseries.py", line 85, in _enumerate_tiles
img = skimage.io.imread(str(path))
File "/usr/local/lib/python3.10/dist-packages/skimage/io/_io.py", line 53, in imread
img = call_plugin('imread', fname, plugin=plugin, **plugin_args)
File "/usr/local/lib/python3.10/dist-packages/skimage/io/manage_plugins.py", line 207, in call_plugin
return func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/skimage/io/_plugins/tifffile_plugin.py", line 30, in imread
return tifffile_imread(fname, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/tifffile/tifffile.py", line 995, in imread
return tif.asarray(
File "/usr/local/lib/python3.10/dist-packages/tifffile/tifffile.py", line 4051, in asarray
result = page0.asarray(out=out, maxworkers=maxworkers)
File "/usr/local/lib/python3.10/dist-packages/tifffile/tifffile.py", line 8172, in asarray
for _ in self.segments(
File "/usr/local/lib/python3.10/dist-packages/tifffile/tifffile.py", line 7994, in segments
yield decode(segment)
File "/usr/local/lib/python3.10/dist-packages/tifffile/tifffile.py", line 7982, in decode
return func(decode(*args, **decodeargs))
File "/usr/local/lib/python3.10/dist-packages/tifffile/tifffile.py", line 7466, in decode_raise_compression
raise ValueError(f'{exc}')
ValueError: <COMPRESSION.LZW: 5> requires the 'imagecodecs' package
The text was updated successfully, but these errors were encountered:
We just need to add imagecodecs python package to the container. Maybe it ended up included in the 1.14 container due to differing transitive dependencies. I'll make sure to do this for the 1.18 release, coming next week.
I think this still seems to be an issue with version 1.18.0b3 that I am playing around with. It only happens when trying to export as an ome.tiff, tiff exports just fine
Hello @jmuhlich ,
I am trying to stitch and register MACSima raw data, I was able to use ASHLAR without any issue using the docker image from version 1.14, however QuPath does not recognize the pyramid format, it sees the image as a series of levels instead of a pyramid, which usually works well.
Then I tried to use the docker image of version 1.17, however as you see below it runs into an error.
am I committing a formating mistake? or is it just missing the package?
Happy to provide more info if needed.
Best,
Jose
The text was updated successfully, but these errors were encountered: