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      • Scalable Spatial Transcriptomics Analysis with Harpy.
      • Highly-multiplexed image analysis with Harpy
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      • Run FlowSOM for pixel and cell clustering
      • Generating single-cell representations from highly multiplexed images and integration with PyTorch
      • Highly-multiplexed image analysis with Harpy and Kronos.
      • Quality Control on IMC spatial proteomics with Harpy
      • Benchmark results Harpy
    • Advanced tutorials
      • Quality Control on in-silico spatial proteomics with Harpy
      • Interactive napari cell annotation on spatial proteomics
      • Interactive napari pixel annotation on spatial proteomics
      • Harpy distance calculations
      • Working with multiple samples (and coordinate systems)
      • Rasterize and vectorize
      • Shallow feature extraction using Harpy.
      • Basic Spatial Transcriptomics Analysis with Harpy
      • Example spatial transcriptomics (Xenium)
      • Understanding Dask behaviour in SpatialData
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  • API
    • harpy.io.macsima
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    • harpy.im.transcript_density
    • harpy.im.combine
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    • harpy.im.cellpose_callable
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    • harpy.im.add_grid_labels
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    • harpy.im.match_labels_to_reference
    • harpy.im.rasterize
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    • harpy.im.flowsom
    • harpy.sh.vectorize
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    • harpy.pl.plot_sdata
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    • harpy.pl.plot_instance_density
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    • harpy.utils.RasterAggregator
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    • harpy.datasets.xenium_human_ovarian_cancer
    • harpy.datasets.xenium_human_ovarian_cancer_course
    • harpy.datasets.visium_hd_example
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    • harpy.datasets.get_spatialdata_registry
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Advanced tutorials

Advanced tutorials#

These tutorials are more advanced and require a deeper understanding of the Harpy API. They are intended for users who are already familiar with the basics of Harpy and want to learn more about specific features or use cases.

  • Quality Control on in-silico spatial proteomics with Harpy
  • Interactive napari cell annotation on spatial proteomics
  • Interactive napari pixel annotation on spatial proteomics
  • Harpy distance calculations
  • Working with multiple samples (and coordinate systems)
  • Rasterize and vectorize
  • Shallow feature extraction using Harpy.
  • Basic Spatial Transcriptomics Analysis with Harpy
  • Example spatial transcriptomics (Xenium)
  • Understanding Dask behaviour in SpatialData

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Benchmark results Harpy

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Quality Control on in-silico spatial proteomics with Harpy

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