Positive constrained iterative deconvolution algorithm applied to three-dimensional images of fluorescence microscopy

dc.contributor.author	Diaz-Zamboni, J. E.	en
dc.contributor.author	Paravani, E. V.	en
dc.contributor.author	Vicente, N. B.	en
dc.contributor.author	Adur, J. F.	en
dc.contributor.author	Casco, V. H.	en
dc.date.accessioned	2015-01-26T14:16:21Z
dc.date.available	2015-01-26T14:16:21Z
dc.date.issued	2015-01-26
dc.identifier.uri	http://hdl.handle.net/11400/4778
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://e-jst.teiath.gr/	en
dc.subject	Transfer function
dc.subject	Λειτουργία μεταφοράς
dc.subject	Deconvolution
dc.subject	Iterative algorithm
dc.subject	Three-dimensional reconstruction
dc.subject	Αποσυνέλιξη
dc.subject	Επαναληπτικός αλγόριθμος
dc.subject	Τρισδιάστατη αναπαράσταση
dc.title	Positive constrained iterative deconvolution algorithm applied to three-dimensional images of fluorescence microscopy	en
heal.type	journalArticle
heal.classification	Science
heal.classification	Biology
heal.classification	Επιστήμες
heal.classification	Βιολογία
heal.classificationURI	http://zbw.eu/stw/descriptor/15685-2
heal.classificationURI	http://zbw.eu/stw/descriptor/15633-0
heal.classificationURI	N/A-Επιστήμες
heal.classificationURI	N/A-Βιολογία
heal.language	en
heal.access	free
heal.publicationDate	2007
heal.bibliographicCitation	Diaz-Zamboni, J.E., Paravani, E.V., Vicente, N.B., Adur, J.F., Casco, V.H. (2007) Positive constrained iterative deconvolution algorithm applied to three-dimensional images of fluorescence microscopy. "e-Journal of Science & Technology". [Online] 2(3). π. 19-30. Available from: http://e-jst.teiath.gr/	en
heal.abstract	Cellular and molecular biology seek to understand complex cellular functions and cell interaction with the environment. To achieve this, different real-time and in situ processes must be described. Digital deconvolution microscopy is one of the most powerful tools used previous to the analyses and quantification of cell molecules. It uses the microscopy system’s optical transfer function to quantify the image degradation produced by lens aberrations. The deconvolution process allows the reconstruction of three-dimensional images that can be then visualized and quantified. The quality of three-dimensional reconstruction depends on the type of deconvolution algorithm used. Linear deconvolution algorithms have shown to be useful when high processing speed is necessary. However, the inversion process involved produces noise amplification. On the other hand, iterative algorithms are more realistic since they work on an estimator that permits the quantification of the level of restoration achieved in every cycle. In this paper we show the results of an evaluation of a particular implementation of an iterative algorithm based on the Van Cittert update scheme. The algorithm was tested on images of biological specimens. Results obtained show that the algorithm conserves intensities, decreases low frequency information and does not amplify high frequencies.	en
heal.publisher	Νερατζής, Ηλίας	el
heal.publisher	Σιανούδης, Ιωάννης	el
heal.journalName	e-Journal of Science & Technology	en
heal.journalName	e-Περιοδικό Επιστήμης & Τεχνολογίας	el
heal.journalType	peer-reviewed
heal.fullTextAvailability	true