ANN: iocbio.microscope - a Python deconvolution software

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ANN: iocbio.microscope - a Python deconvolution software

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Dear List members:

We are proud to release a new package for deconvolving 3D microscope
images iocbio.microscope. It is a part of an open-source software
project iocbio from the Laboratory of Systems Biology in the Institute
of Cybernetics at Tallinn Technical University (http://sysbio.ioc.ee).

Iocbio.microscope software package allows to deconvolve microscope
images. In addition to the deconvolution program, the package includes
the set of tools that is required for processing images, estimation of
point spread function (PSF) and visualizing the results. This software
is written in Python and is released with an open-source license
(BSD).

Homepage: http://code.google.com/p/iocbio/wiki/IOCBioMicroscope

Tutorial: http://code.google.com/p/iocbio/wiki/DeconvolutionTutorial

Iocbio API documentation:
http://sysbio.ioc.ee/download/software/iocbio/index.html

Sources and download: http://iocbio.googlecode.com

Iocbio is developed under Linux (Ubuntu) but will also run under
Windows (we provide installer for Windows users to ease the process of
setting up the iocbio software as well as its prerequisites).

Mathematical background of implemented deconvolution algorithm, notes
and guidelines on selection of parameters for deconvolution and
application to real-life images are described in a recent paper

Laasmaa, M, Vendelin, M, Peterson, P (2011). Application of
regularized Richardson-Lucy algorithm for deconvolution of confocal
microscopy images. J. Microscopy. Volume 243,  Issue 2 , pages
124–140, August 2011:
http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2818.2011.03486.x/full

Pearu Peterson, Martin Laasmaa, and Marko Vendelin

--
Marko Vendelin, PhD
Wellcome Trust International Senior Research Fellow
Laboratory of Systems Biology
Institute of Cybernetics
Tallinn University of Technology
Akadeemia 21, 12618 Tallinn ESTONIA

WWW:   http://sysbio.ioc.ee