Contents

Image Title Category Type Description Updated
need a thumbnail NeuronMetrics Software Collection

The invention comprises a software tool, NeuronMetrics, which functions as a set of modules that run in the open-source program ImageJ. NeuronMetrics features a novel method for estimating neural “branch number” (a measure of the axonal complexity) from two-dimensional images. In addition, the tool features a novel method for modeling neural structure in large “gaps” that result from image artifacts.

 

01/29/2018 - 09:49
need a thumbnail Hessian by Philippe Thévenaz Software Component

Computes image Hessian
Based on the algorithm described in the paper below. 

Splines: A Perfect Fit for Signal and Image Processing
M. Unser
IEEE Signal Processing Magazine, vol. 16, no. 6, pp. 22-38, November 1999.
 DOI: 10.1109/79.799930
 http://ieeexplore.ieee.org/document/799930/

09/12/2017 - 17:53
need a thumbnail Laplacian by Philippe Thévenaz Software Component

Computes image Laplacian

 

Based on the algorithm described in the paper below. 

Splines: A Perfect Fit for Signal and Image Processing
M. Unser
IEEE Signal Processing Magazine, vol. 16, no. 6, pp. 22-38, November 1999.
 DOI: 10.1109/79.799930
 http://ieeexplore.ieee.org/document/799930/

09/12/2017 - 17:48
need a thumbnail Matlab compiler runtime Software 09/12/2017 - 17:00
need a thumbnail gradient by Philippe Thévenaz Software Component

Computes image gradient

 

Based on the algorithm below. 

Splines: A Perfect Fit for Signal and Image Processing
M. Unser
IEEE Signal Processing Magazine, vol. 16, no. 6, pp. 22-38, November 1999.
 DOI: 10.1109/79.799930
 http://ieeexplore.ieee.org/document/799930/

09/12/2017 - 17:14
Example of output from Neural Circuit Tracer Neural Circuit Tracer Software Collection

Neural Circuit Tracer (NCTracer) is open source software for automated and manual tracing of neurites from light microscopy stacks of images. NCTracer has more than one workflow available for neuron tracing. 

04/11/2018 - 12:01
MIB Microscopy Image Browser (MIB) Software Collection

Microscopy Image Browser (MIB) is a high-performance Matlab-based software package for advanced image processing, segmentation and visualization of multi-dimensional (2D-4D) light and electron microscopy datasets.

05/12/2023 - 17:52
AnaMorph AnaMorf Software Component

AnaMorf is a plug-in developed for the ImageJ platform to analyse the microscopic morphology of filamentous microbes. The program returns average data on a population of mycelial elements, using the descriptors projected area, circularity, total hyphal length, number of hyphal tips, hyphal growth unit, lacunarity and fractal dimension. The plug-in accepts as input a user-specified directory of images, analysing each and outputing tabulated results.

10/30/2025 - 04:59
Kappa user interface Kappa Software Component

Kappa is a Fiji plugin for Curvature Analysis.

It allows a user to measure curvature in images in a convenient way. You can trace an initial shape with a B-Spline curve in just a few clicks and then fit that curve to image data with a minimization algorithm. It’s fast and robust.

09/21/2017 - 16:50
Kota Miura (ed) "Bioimage Data Analysis", Textbook, Wiley Training Material

Bioimage Data Analysis provides detailed explanations and example workflows of combining various image processing algorithms to construct practical workflows using scripting.

http://www.imaging-git.com/olympus-website-bioimage-data-analysis

https://www.researchgate.net/publication/297738620_Bioimage_Data_Analysis

08/03/2020 - 14:50
iTrack4U iTrack4U Software Component

iTrack4U is a Java-based software using ImageJ and jMathPlot libraries, which aims at automatically tracking cells recorded in phase-contrast microscopy. It includes all tools from image files preprocessing, tracking to data extraction and visualization. 

 

Please cite Cordeliéres et. al. (2013) when using this software package!

05/21/2018 - 01:22
ImageJ Analyze Skeleton Software Component

This plugin tags all pixel/voxels in a skeleton image and then counts all its junctions, triple and quadruple points and branches, and measures their average and maximum length.

Tags are shown in a new window displaying every tag in a different color. You can find it under [Plugins>Skeleton>Analyze Skeleton (2D/3D)]. See Skeletonize3D for an example of how to produce skeleton images.

04/27/2023 - 14:09
MorphoGraphX user interface MorphoGraphX Software Collection

MorphoGraphX is a free Linux application for the visualization and analysis of 3D biological datasets. Developed by researchers, it is primarily used for the analysis and quantification of 3D live-imaged confocal data sets.

The main research interests adressed by MorphoGraphX are:

  • Shape extraction
  • Growth analysis
  • Signal quantification
  • Protein localization
03/03/2020 - 20:54
Rafael C. Gonzalez, Richard E. Woods."Digital Image Processing", Pearson, 2008 Training Material

From the publisher: "Completely self-contained–and heavily illustrated–this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline.

09/12/2017 - 11:58
FigureJ FigureJ Software Component

This plugin achieves easy creation of image figures for publications, reports, projects.

  • Easy-to-design interactive figure layout.

  • Visually assign image content to panels.

  • High-quality image scaling and rotation.

  • Easy and consistent panel labels and scale bars.

  • Each panel has it's original datasource's properties and tracks achieved image processing.

  • Save and re-open editable figures.

04/29/2023 - 11:34
need a thumbnail hIPNAT Software Collection

hIPNAT (hIPNAT: Image Processing for NeuroAnatomy and Tree-like structures) is a set of tools for the analysis of images of neurons and other tree-like morphologies. It is written for ImageJ, the de facto standard in scientific image processing. It is available through the ImageJ Neuroanatomy update site.

03/03/2020 - 17:55
Illumination correction method CIDRE Software Collection

CIDRE is a retrospective illumination correction method for optical microscopy. It is designed to correct collections of images by building a model of the illumination distortion directly from the image data. Larger image collections provide more robust corrections. Details of the method are described in

K. Smith, Y. Li, F. Ficcinini, G. Csucs, A. Bevilacqua, and P. Horvath
CIDRE: An Illumination Correction Method for Optical Microscopy, Nature Methods 12(5), 2015, doi:10.1038/NMETH.3323

04/29/2023 - 14:27
Generated features wnd-charm Software

WND-CHARM is a multi-purpose image classifier that can be applied to a wide variety of image classification tasks without modifications or fine-tuning, and yet provides classification accuracy comparable to state-of-the-art task-specific image classifiers. WND-CHARM can extract up to ~3,000 generic image descriptors (features) including polynomial decompositions, high contrast features, pixel statistics, and textures. These features are derived from the raw image, transforms of the image, and compound transforms of the image (transforms of transforms).

10/18/2018 - 17:35
Traceplot_Rivulet Rivulet Software Component

"we propose a novel automatic 3D neuron reconstruction algorithm, named Rivulet, which is based on the multi-stencils fast-marching and iterative back-tracking. The proposed Rivulet algorithm is capable of tracing discontinuous areas without being interrupted by densely distributed noises." 

This plugin can be used with default parameters or with user-defined parameters.

Example image obtained from Rivulet Wiki website (https://github.com/RivuletStudio/Rivulet-Neuron-Tracing-Toolbox/wiki

04/28/2023 - 15:16
Example_TReMAP_Result TReMAP Software Component

"we present a new fully automated 3D reconstruction algorithm, called TReMAP, short for Tracing, Reverse Mapping and Assembling of 2D Projections. Instead of tracing a 3D image directly in the 3D space as seen in majority of the tracing methods, we first trace the 2D projection trees in 2Dplanes, followed by reverse-mapping the resulting 2D tracing results back into the 3D space as 3D curves; then we use a minimal spanning tree (MST) method to assemble all the 3D curves to generate the final 3D reconstruction.

04/11/2018 - 12:38