From 054add78a19f627883339c6be72955ebcce032ca Mon Sep 17 00:00:00 2001 From: Mr-Milk Date: Wed, 19 Aug 2026 10:15:00 +0200 Subject: [PATCH] Update LazySlide and wsidata entries Add logos, tutorial links, conda installation and the Nature Methods publication DOI for both packages. Also refresh the descriptions and add tags that now apply. --- packages/LazySlide/logo.svg | 1 + packages/LazySlide/meta.yaml | 12 +- packages/wsidata/logo.svg | 231 +++++++++++++++++++++++++++++++++++ packages/wsidata/meta.yaml | 10 +- 4 files changed, 252 insertions(+), 2 deletions(-) create mode 100644 packages/LazySlide/logo.svg create mode 100644 packages/wsidata/logo.svg diff --git a/packages/LazySlide/logo.svg b/packages/LazySlide/logo.svg new file mode 100644 index 00000000..247ccd74 --- /dev/null +++ b/packages/LazySlide/logo.svg @@ -0,0 +1 @@ + diff --git a/packages/LazySlide/meta.yaml b/packages/LazySlide/meta.yaml index f9df914e..e67e92ef 100644 --- a/packages/LazySlide/meta.yaml +++ b/packages/LazySlide/meta.yaml @@ -1,21 +1,31 @@ name: LazySlide description: | - LazySlide is a Python library for processing whole slide images (WSI) analysis. It provides a simple interface to perform robust preprocessing and advanced analysis for WSI. + LazySlide is a Python framework for whole slide image (WSI) analysis that integrates with the + scverse ecosystem. It covers preprocessing, tissue and cell segmentation, feature extraction with + pathology foundation models, and multimodal integration of histology with omics and text. project_home: https://github.com/rendeirolab/lazyslide documentation_home: https://lazyslide.readthedocs.io/ +tutorials_home: https://lazyslide.readthedocs.io/page/tutorials/index.html +publications: + - 10.1038/s41592-026-03044-7 install: pypi: lazyslide + conda: conda-forge::lazyslide primary_category: Imaging tags: - imaging - preprocessing - segmentation - deep learning + - foundation model + - multimodal + - visualization license: MIT language: Python contact: - Mr-Milk - eabila - afrendeiro +logo: logo.svg test_command: uv run task test category: ecosystem diff --git a/packages/wsidata/logo.svg b/packages/wsidata/logo.svg new file mode 100644 index 00000000..d2a2bd21 --- /dev/null +++ b/packages/wsidata/logo.svg @@ -0,0 +1,231 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/packages/wsidata/meta.yaml b/packages/wsidata/meta.yaml index 44db6e2c..f0640b11 100644 --- a/packages/wsidata/meta.yaml +++ b/packages/wsidata/meta.yaml @@ -1,20 +1,28 @@ name: wsidata description: | - wsidata is a data-structure for efficient IO of Whole Slide Images based on spatialdata. + wsidata provides data structures and IO for whole slide image (WSI) analysis, built on SpatialData. + A single WSIData object holds the multi-resolution slide, tissue and tile geometries, and derived + features, so WSIs can be handled with the same tooling as other scverse data. project_home: https://github.com/rendeirolab/wsidata documentation_home: https://wsidata.readthedocs.io/ +tutorials_home: https://wsidata.readthedocs.io/page/intro/index.html +publications: + - 10.1038/s41592-026-03044-7 install: pypi: wsidata + conda: conda-forge::wsidata primary_category: Data structures tags: - imaging - data structures - file formats + - interoperability license: MIT language: Python contact: - Mr-Milk - eabila - afrendeiro +logo: logo.svg test_command: uv run task test category: ecosystem