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Parallel deconvolution of large 3D images obtained by confocal laser scanning microscopy

Parallel deconvolution of large 3D images obtained ...

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dc.contributor.author Pawliczek, Piotr pl
dc.contributor.author Romanowska-Pawliczek, Anna pl
dc.contributor.author Sołtys, Zbigniew [SAP11012054] pl
dc.date.accessioned 2015-02-26T09:12:27Z
dc.date.available 2015-02-26T09:12:27Z
dc.date.issued 2010 pl
dc.identifier.issn 1059-910X pl
dc.identifier.uri http://ruj.uj.edu.pl/xmlui/handle/item/3344
dc.language eng pl
dc.rights Dodaję tylko opis bibliograficzny *
dc.rights.uri *
dc.title Parallel deconvolution of large 3D images obtained by confocal laser scanning microscopy pl
dc.type JournalArticle pl
dc.description.physical 187-194 pl
dc.abstract.other Various deconvolution algorithms are often used for restoration of digital images. Image deconvolution is especially needed for the correction of three-dimensional images obtained by confocal laser scanning microscopy. Such images suffer from distortions, particularly in the Z dimension. As a result, reliable automatic segmentation of these images may be difficult or even impossible. Effective deconvolution algorithms are memory-intensive and time-consuming. In this work, we propose a parallel version of the well-known Richardson-Lucy deconvolution algorithm developed for a system with distributed memory and implemented with the use of Message Passing Interface (MPI). It enables significantly more rapid deconvolution of two-dimensional and three-dimensional images by efficiently splitting the computation across multiple computers. The implementation of this algorithm can be used on professional clusters provided by computing centers as well as on simple networks of ordinary PC machines. pl
dc.description.volume 73 pl
dc.description.number 3 pl
dc.identifier.doi 10.1002/jemt.20773 pl
dc.identifier.eissn 1097-0029 pl
dc.title.journal Microscopy Research and Technique pl
dc.language.container eng pl
dc.affiliation Wydział Biologii i Nauk o Ziemi : Instytut Zoologii pl
dc.subtype Article pl
.pointsMNiSW [2010 A]: 32

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