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"We used image set BBBC007v1 image set version 1 (Jones et al., Proc. ICCV Workshop on Computer Vision for Biomedical Image Applications, 2005), available from the Broad Bioimage Benchmark Collection [Ljosa et al., Nature Methods, 2012]." | ||
The images "17P1_POS0006_D_1UL.tif" and "17P1_POS0006_F_2UL.tif" were cropped (square 220px large with upper-left corner positioned at [80px, 150px] [x, y]) and converted from RGB to 16bit depth. |
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data/BMP4blastocystC3-cropped_resampled_8bit_image_data_source.txt
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docs/BioImage_Analysis_with_Jupyter_and_napari/02_Napari_from_Jupyter_introduction.ipynb
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docs/BioImage_Analysis_with_Jupyter_and_napari/03_Filters_in_3D_Isotropic_Data.ipynb
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docs/BioImage_Analysis_with_Jupyter_and_napari/04_Brightness_and_Contrast_optional.ipynb
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docs/BioImage_Analysis_with_Jupyter_and_napari/05_Filters_optional.ipynb
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docs/BioImage_Analysis_with_Jupyter_and_napari/06_Segmentation_workflow_example.ipynb
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docs/BioImage_Analysis_with_Jupyter_and_napari/07_batch_segmentation_workflow_example.ipynb
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docs/Machine_Learning_with_napari/apoc_train_on_folders.ipynb
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