Napari image viewer

Description

napari is a fast, interactive, multi-dimensional image viewer for Python. It’s designed for browsing, annotating, and analyzing large multi-dimensional images. It’s built on top of Qt (for the GUI), vispy (for performant GPU-based rendering), and the scientific Python stack (e.g. numpyscipy). It includes critical viewer features out-of-the-box, such as support for large multi-dimensional data, and layering and annotation. By integrating closely with the Python ecosystem, napari can be easily coupled to leading machine learning and image analysis tools (e.g. scikit-imagescikit-learnTensorFlowPyTorch), enabling more user-friendly automated analysis.

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OligoMacro Toolset

Description

OligoMacro Toolset, is an ImageJ macro-toolset aimed at isolating oligodendrocytes from wide-field images, tracking isolated cells, characterizing processes morphology along time, outputting numerical data and plotting them. It takes benefit of ImageJ built-in functions to process images and extract data, and relies on the R software in order to generate graphs.

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automated structures analysis program (ASAP)

Description

ASAP allows to automatically detect, classify and quantify structures acquired by super resolution microscopy. 

Icy Spot Tracking

Description

Up to version 2 it was known as the ‘Probabilistic particle tracker’ plugin.

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Icy Label Extractor

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Image registration in Matlab with Image Processing Toolbox

Description

Align two images using intensity correlation, feature matching, or control point mapping

Together, Image Processing Toolbox™ and Computer Vision Toolbox™ offer four image registration solutions: interactive registration with a Registration Estimator app, intensity-based automatic image registration, control point registration, and automated feature matching. 

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Mathematica

Description

Wolfram Mathematica (usually termed Mathematica) is a modern technical computing system spanning most areas of technical computing — including neural networksmachine learningimage processinggeometrydata sciencevisualizations, and others. The system is used in many technical, scientific, engineering, mathematical, and computing fields.

LBADSA

Description

LBADSA is based on the fitting of the Young-Laplace equation to the image data to measure drops.

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DropSnake

Description

DropSnake is based on B-spline snakes (active contours) to shape and measure a drop.

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