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 c22594de..e67e92ef 100644
--- a/packages/LazySlide/meta.yaml
+++ b/packages/LazySlide/meta.yaml
@@ -1,22 +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/
-inventory: https://lazyslide.readthedocs.io/en/stable/
+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 26e6fb33..f0640b11 100644
--- a/packages/wsidata/meta.yaml
+++ b/packages/wsidata/meta.yaml
@@ -1,21 +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/
-inventory: https://wsidata.readthedocs.io/en/stable/
+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