Contents

not available on version 2.1 and up.

This plugin calculates the Nyquist sampling, in the radial and axial direction for your Microscope.

not available anymore in version 3.0 and up?

DensitoQuant is a simple and fast, yet effective tool for IHC measurements. It measures the density of immunostain on the digital slides by distributing pixels to negative and 3 grades of positive classes by their RGB values. DensitoQuant is especially suitable for quick TMA evaluation. Analyzing a whole digital slide takes only a couple of minutes.

NuclearQuant is a QuantCenter module. It is designed for cell nuclei detection and quantification of IHC stained samples. NuclearQuant measures several morphological features besides stain intensity. The cell nuclei classification and the final score are calculated by the intensity score and the proportion score.

A toolbox that contains Matlab routines for computing the forward and backward generalized Riesz-wavelet transform of high order is provided. It includes utilities for orientation computation, coefficients steering, basic denoising, frame learning.

A fork of PIL python package, with small collection of image import/export and image processing modules. See [Reference Documentation](http://pillow.readthedocs.org/en/latest/reference/index.html) for more details. Though this package mostly works in any platform, some of them are limited to Windows. This package is a part of [pythonxy](https://code.google.com/p/pythonxy/).

The plugin analyses a point pattern (positions of objects of interest) distributed within a reference structure.

This analysis allows in particular to assess deviation from spatial randomness, and to reveal trends for clustering (attraction) or regularity (repulsion). No edge correction is performed, as it is assumed that no point is expected outside the reference structure.

This plugin comes together with 3D ImageJ suites plugin.

Multi-touch provider allowing developers to let their plug-in receive rich multi-touch interaction. Currently supports Mac OS X, and generates raw finger events as well as pre-processed 2-finger gestures (pinch, drag, rotation).

Produces a grid of desired specifications either manually, or automatically based on previously identified objects.