Image processing

Phindr3D is a comprehensive shallow-learning framework for automated quantitative phenotyping of three-dimensional (3D) high content screening image data using unsupervised data-driven voxel-based feature learning, which enables computationally facile classification, clustering and data visualization.

Please see our GitHub page and the original publication for details.

Local Z Projector is an ImageJ2 plugin, available in Fiji, that can perform local-Z projection of a 3D stack, possibly over time, possibly very large.

LZP performs projection of a surface of interest on a 2D plane from a 3D image. It is a simple tool that focuses on usability and is designed to be adaptable to many different use cases and image quality.

• It can work with 3D movies over time with multiple channels.
• It can work with images much larger than available RAM out of the box.
• It takes advantage of computers with multiple cores, and can be used in scripts.

pyimagej provides a set of wrapper functions for integration between ImageJ and Python.

It also provides a high-level entry point for invoking ImageJ server APIs.

Epina ImageLab is a Microsoft Windows-based multisensor imaging tool for processing and analyzing hyperspectral images. It is a modular system consisting of a basic engine, a graphical user interface, a chemometrics toolbox and optional user-supplied modules. It supports the most important spectroscopic imaging techniques, such as UV/Vis, infrared, Raman, THz, optical emission/absorption, and mass spectrometry. On top of that Epina ImageLab enables the user to merge hyperspectral images with maps of physical properties and conventional high-resolution color photos. 

Wavelet Toolbox™ provides apps and functions for the time-frequency analysis of signals and multiscale analysis of images.