acquiarium

Description

Acquiarium is open source software (GPL) for carrying out the common pipeline of many spatial cell studies using fluorescence microscopy. It addresses image capture, raw image correction, image segmentation, quantification of segmented objects and their spatial arrangement, volume rendering, and statistical evaluation.

It is focused on quantification of spatial properties of many objects and their mutual spatial relations in a collection of many 3D images. It can be used for analysis of a collection of 2D images or time lapse series of 2D or 3D images as well. It has a modular design and is extensible via plug-ins. It is a stand-alone, easy to install application written in C++ language. The GUI is written using cross-platform wxWidgets library.

Acquiarium functionalities diagram

Bioconductor

Description

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.

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Luigi

Description

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

The purpose of Luigi is to address all the plumbing typically associated with long-running batch processes. You want to chain many tasks, automate them, and failures will happen. These tasks can be anything, but are typically long running things like Hadoop jobs, dumping data to/from databases, running machine learning algorithms, or anything else.

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FracLac

Description

FracLac is for digital image analysis. Use it to measure difficult to describe morphological features.
FracLac is a plugin for ImageJ. It is freely available software developed and maintained by our lab at the School of Community Health, Faculty of Science, Charles Sturt University, Australia. The author of the software and project lead is also the author of this document (me, Audrey Karperien). The basic box counting algorithm was originally modified from ImageJ's box counting algorithm and H. Jelinek's NIH Image plugin, and was further elaborated based on extensive research and development. The convex hull algorithm was provided by Thomas Roy, University of Alberta, Canada. As open source software, with the continuing help of a host of users and collaborators, FracLac has evolved to a suite of fractal analysis and morphology functions.

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OpenCV / Machine Learning

OpenCV / Image Stiching

OpenCV / High Level GUI

Description

While OpenCV was designed for use in full-scale applications and can be used within functionally rich UI frameworks (such as Qt*, WinForms*, or Cocoa*) or without any UI at all, sometimes there it is required to try functionality quickly and visualize the results. This is what the HighGUI module has been designed for.

It provides easy interface to:

  • Create and manipulate windows that can display images and "remember" their content (no need to handle repaint events from OS).
  • Add trackbars to the windows, handle simple mouse events as well as keyboard commands.

OpenCV / Clustering and Search in Multi-Dimensional Spaces

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