NiftyNet

Description

NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models. Using this modular structure you can:

  • Get started with established pre-trained networks using built-in tools;
  • Adapt existing networks to your imaging data;
  • Quickly build new solutions to your own image analysis problems.

Fiji CMTK GUI

Description

Working version of a simple GUI frontend for CMTK image registration tools in Fiji

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MIPAV

Description

The MIPAV (Medical Image Processing, Analysis, and Visualization) application enables quantitative analysis and visualization of medical images of numerous modalities such as PET, MRI, CT, or microscopy. Using MIPAV's standard user-interface and analysis tools, researchers at remote sites (via the internet) can easily share research data and analyses, thereby enhancing their ability to research, diagnose, monitor, and treat medical disorders.

Globals for Images SimFCS 4

Description

Software for analysis, visualization, simulation, and acquisition  of data from spectroscopy and fluorescence microscopy.

  • Fluorescence Correlation Spectroscopy (FCS)
  • Fluorescence Lifetime Imaging (FLIM) and Phasor plots
  • Förster Resonance Energy Transfer (FRET)
  • Generalized Polarization (GP) and Spectral Phasors
  • Number and Brightness (N&B)
  • Photon Counting Histogram (PCH)
  • Raster and Spatio-temporal Image Correlation Spectroscopy (RICS and STICS)
  • Single Particle and Modulation Tracking (SPT, MT)
  • Image Mean Square Displacement (iMSD)
  • Pair correlation function (pCF)
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BigDataViewer

Description

The BigDataViewer is a re-slicing browser for terabyte-sized multi-view image sequences. BigDataViewer was developed with multi-view light-sheet microscopy data in mind and integrates well with Fiji's SPIMage processing pipeline.

MOST-Raytracer

Description

This project was designed for vectorize and analyze the  blood vessels in the mouse brain.

This plugin requires the definition of seed point detection settings by the user (Semi-automated).

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AVEMAP

Description

Measures wound-healing assay videos, 

 For each video, the velocity and the order parameter are analyzed in time and space to extract quantitative parameters characterizing the cell motility phenotype. The different conditions (videos) can then be classified according to these parameters.

AveMAP

NeuronMetrics

Description

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.

 

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gradient by Philippe Thévenaz

Description

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/

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GelBandFitter

Description

GelBandFitter is a user-friendly software specific for analysis of protein gels and estimation of relative protein content. Using non-linear regression methods to fit mathematical functions to densitometry profiles, it is able to estimate content from protein bands that partially overlap. The software is available either as Matlab code (Optimization toolbox required) or a Windows executable. Reference: Mitov, M. I., Greaser, M. L., & Campbell, K. S. (2009). GelBandFitter – A computer program for analysis of closely spaced electrophoretic and immunoblotted bands. Electrophoresis, 30(5), 848–851. http://doi.org/10.1002/elps.200800583

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GelBandFitter screenshot