Automated

Use Icy as an image viewer from Matlab.

Layer for 3D View that displays a Bounding Box around the object.

This is a set of Matlab routines for computing generalized Daubechies wavelet filters.

MembraneQuant performs automatic evaluation on IHC membrane stainings (HER2, EGFR etc).

Using color deconvolution, MembraneQuant detects cell membrane and measures staining intensity on the chromogen channel. This way it is possible to calibrate the software to the actual stain protocol in the pathology lab. The algorithm categorizes the detected membrane to weak positive, medium positive and strong positive classes.

This software has an IVD certification for HER2 quantification.

ImageMath performs simple mathematical operations on image intensities, like addition, subtraction, multiplication, division...

When opening the Pannoramic Viewer you see all of your virtual slides in thumbnail view. Selecting one (or up to 10 at a time) the slide gets under the virtual objective of the virtual microscope. Here you can move and change the magnification of the slide quickly and easily using the mouse. Emphasizing 'quickly' is important considering the fact that the size of an average virtual slide can easily be more than 1 GB.

Main characteristics:

• Seamless zooming and moving of the virtual slide
• Bookmarking (annotating) on the spot, i.e. defining the specific part of the sample by drawing; finding and reading of previously made bookmarks
• Easy and precise measurements
• Real-time changing of brightness, contrast and color bias
• Fluorescent slide handling, separate channel view & pseudo-colorization
• Slide uploading and downloading for teleconsultation
• Synchronized viewing (moving and zooming) of multiple slides for comparison purposes
• Publication quality image capture of displayed areas (.JPG, .BMP, .TIFF)
• TIFF, MIRAX slide and Meta-XML export for Carl Zeiss AxioVision™ compatibility
• Scanmap export for rescanning existing digital slides
• Easily expandable functionality via the software modules

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.

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.

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.

not available anymore in version 3.0 and up?

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

not available on version 2.1 and up.

A MATLAB package is made available for computing the fractional smoothing spline estimator of a 1D signal, and for generating fBms (fractional Brownian motion).

Icy Morphomath operators: erosion, dilation, opening, closing, top-hat, gradient, distance map, skeleton and watershed.

The smoothing is applied by the way of a bi-exponential filter, itself realized by a pair of one-tap recursions. It is therefore very fast; moreover, its computational cost is truly independent of the amount of smoothing. Meanwhile, the preservation of edges is obtained by a range filter akin to the range filter found in a bilateral filter. More technical details are available here.

The plugin allows one to control the amount of smoothing, the type of range filter, its broadness, and to iterate the filter several times if desired. We illustrate in Figure 2 a possible outcome of this filter. Here, we iterated the BEEPS 10 times with a Gaussian range filter, σ = 10, and the spatial decay λ = 0.1.

ICY Plugin, creates a colocalization scatter plot based on 2 channels. This plugin can take 1 ROI as input, and provides the data to build the bubble excel graph.

Dithering is a type of half tone thresholding where greyscale (or RGB channel) intensity is converted into a local density of binary pixels. This is ideal for rendering images in devices with a binary output such as printers (greyscale) or with a small number of colours (colour dithering). The following methods have been implemented (there are several more):

• Floyd-Steinberg
• Atkinson
• Jarvis-Judice-Ninke
• Stucki
• Bayer_2x2
• Bayer_4x4
• Bayer_8x8
• Clustered_4x4
• Random

Here is a good text explaining various dithering algorithm.