[Insight-users] OPEN ACCESS: Wndchrm - an open source utility for biological image analysis

Luis Ibanez luis.ibanez at kitware.com
Wed Jul 9 09:07:07 EDT 2008


The following new article has just been published in
Source Code for Biology and Medicine

                     http://www.scfbm.org/

"Wndchrm - an open source utility for biological image analysis"
Shamir L, Orlov N, Eckley D, Macura T, Johnston J, Goldberg I

             http://www.scfbm.org/content/3/1/13

Abstract (provisional)

Background

Biological imaging is an emerging field, covering a wide range of
applications in biological and clinical research. However, while
machinery for automated experimenting and data acquisition have been
developing rapidly in the past years, automated image analysis often
introduces a bottleneck in high content screening.
Methods

Wndchrm is an open source utility for biological image analysis. The
software works by first extracting image content descriptors from the
raw image, image transforms, and compound image transforms. Then, the
most informative features are selected, and the images are analyzed.
Results

Wndchrm has been tested using several publicly available biological
datasets, and provided results which are favorably comparable to the
performance of task-specific algorithms developed for these datasets.
The simple user interface allows researchers who are not knowledgeable
in computer vision methods and have no background in computer
programming to apply image analysis to their data.


The article is available in OPEN ACCESS
http://www.biomedcentral.com/info/about/openaccess/

Anyone is free:

     * to copy, distribute, and display the work;
     * to make derivative works;
     * to make commercial use of the work;

Under the following conditions: Attribution

     * the original author must be given credit;
     * for any reuse or distribution, it must be made clear
       to others what the license terms of this work are;
     * any of these conditions can be waived if the
       authors gives permission.


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Software Download page:
http://www.phy.mtu.edu/~lshamir/downloads/ImageClassifier/



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