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OME (Open Microscopy Environment) develops open-source software and data format standards for the storage and manipulation of biological light microscopy data. A joint project between universities, research establishments and industry in Europe and the USA, OME has over 20 active researchers with strong links to the microscopy community. Funded by private and public research grants, OME has been a major force on the international microscopy stage since 2000.
A collection of extensions tools for SVG files, integrated into Microsoft Windows Explorer (for Windows 10 and 11) and a useful SVG Text Editor
A library for libGDX that draws simple shapes using a batch.
Read and write Neuroglancer datasets programmatically.
Go cross-platform OpenGL bindings.
Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools and AI tools.
A collection of tools for painting super-resolution images
Easily import, modify, and export icons (for Xcode and more)
Accurate and efficient spot detection for microscopy data
🎙 Generator waveform paths for SVG 🎶
CloudPeek is a lightweight, cross-platform, single-header C++ point cloud viewer. It’s designed for simplicity and efficiency, requiring no heavy libraries like PCL or Open3D. Ideal for visualizing and interacting with 3D data from LiDAR, photogrammetry, or other datasets, CloudPeek delivers powerful, real-time exploration in a minimalistic package
The python-microscopy environment - an open-source package for light microscopy
Go cross-platform glfw library for creating an OpenGL context and receiving events.
C++ implementation of Vulkan sitting on D3D12 :cat2:
openFrameworks is a community-developed cross platform toolkit for creative coding in C++.
Gaussian processes and Bayesian optimization for images and hyperspectral data
ImageJ functions and macros for working with thermal image files
Pure Python library for reading NIS Elements ND2 images and metadata
ZetaStitcher is a tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.
Cross framework, cross platform computer vision for Haxe
Common tools for projects
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
Lattice light-sheet post-processing utility.
Noise Correction Algorithm for sCMOS cameras