-
SciLifeLab
- Uppsala, Sweden
-
10:14
(UTC +02:00) - https://www.windhager.io
- https://orcid.org/0000-0002-2111-5291
- @jwindhager.bsky.social
Highlights
- Pro
Stars
A WebGPU-native out-of-core rendering system for large virtualized volumetric data.
ilastik-shell, applets, and workflows to string them together.
Ngio is a Python library to streamline OME-Zarr image analysis workflows.
A Python toolbox for registering / fusing / stitching large multi-view / multi-positioning image datasets in 2-3D.
An implementation of chunked, compressed, N-dimensional arrays for Python.
A toy CLI for archving an OME-Zarr hierarchy into a .ozx file per RFC-9
A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.
Render OME-Zarr images in NiiVue with progressive multi-resolution loading.
Next-generation file format (NGFF) specifications for storing bioimaging data in the cloud.
Technology Compatibility Toolkit for the .ozx format (OME-Zarr RFC-9)
Some JavaScript utils for simple rendering of OME-Zarr images
An open and interoperable data framework for spatial omics data
TissUUmaps is a browser-based tool for fast visualization and exploration of millions of data points overlaying a tissue sample. TissUUmaps can be used as a web service or locally in your computer,…
Central repository for the Multiplexed Tissue Imaging Workshop 2023.
A plugin to process Imaging Mass Cytometry data with cellpose and steinbock
Book about interpretable machine learning
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
Efficient graph data structures and algorithms for fast slicing, visualization, and editing
A minimal & modern LaTeX template for your (bachelor's | master's | doctoral) thesis
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
R package for visualization of highly multiplexed imaging data
napari: a fast, interactive, multi-dimensional image viewer for python