v0.5.6

Relaxed dependencies of spatialproteomics for increased compatibility with other packages.

v0.5.5

Added pp.convert_to_8bit() and made it possible to change the background color in plots even when no fluorescence image is rendered.

v0.5.4

Added functionality to tl.convert_to_anndata() to facilitate interoperability with scanpy and squidpy.

v0.5.3

This release includes:

• Bugfixes
• Improved thresholding
• Plotting of continuous variables such as cell size directly on the segmentation masks
• Various normalization and transformation methods to process expression matrices
• Docs now include plots to investigate distributions of diverse features, such as cell sizes
• Improved interoperability with spatialdata and napari-spatialdata
• Updated cellpose wrapper to accept multi-channel segmentation (e. g. segmenting nuclear and membrane simultaneously)
• Improved pl.autocrop()
• Possibility of masking out artifacts
• Improved syntax for pp.add_quantification()
• Overhaul of the documentation

API and documentation updates

Merge pull request #60 from sagar87/release/0.5.2

bumped version to 0.5.2

Bugfixes

• implemented intensity cutoff, several bugs

v0.5.0: Merge pull request #30 from sagar87/release/v_0.5.0

bump version to 0.5.0

`spatial_data` is now `spatialproteomics`

First release of the renamed package spatialproteomics ! Includes various new features including a completely refactored labels module and cell-type classification procedures.

v0.3.0

• Major redesign of the Accessor logic. Functions of the image accessor are now mainly found in the Preprocessing accessor pp.
• First gating logic implemented.
• Documentation lacking behind ...

v0.2.2

• Updated data import tutorial.
• Updated RTD theme to make it wider.
• Added slicing tutorial.
• Added plotting tutorial.
• Implemented neighborhood graph calculation.
• Implemented draw_edges function.
• Added data extraction tutorial.