About: On estimation of diffusion coefficient based on spatio-temporal FRAP images: An inverse ill-posed problem

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: On estimation of diffusion coefficient based on spatio-temporal FRAP images: An inverse ill-posed problem Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We present the method for determination of phycobilisomes diffusivity (diffusion coefficient D) on thylakoid membrane from fluorescence recovery after photobleaching (FRAP) experiments. This was usually done by analytical models consisting mainly of a simple curve fitting procedure. However, analytical models need some unrealistic conditions to be supposed. Our method, based on finite difference approximation of the process governed by the Fickian diffusion equation and on the minimization of an objective function representing the disparity between the measured and simulated time-varying fluorescent particles concentration profiles, naturally accounts for experimentally measured time-varying Dirichlet boundary conditions and can include a reaction term as well. The result we get is the overall (time averaged) diffusion coefficient D and the sequence of diffusivities Dj based on two successive fluorescence profiles in j-th time interval. Due to the ill-posedness of our inverse problem, regularization algorithms are implemented. On the synthetic example, we illustrate the behaviour of solution depending on regularization parameter for different signal to noise ratio. We present the method for determination of phycobilisomes diffusivity (diffusion coefficient D) on thylakoid membrane from fluorescence recovery after photobleaching (FRAP) experiments. This was usually done by analytical models consisting mainly of a simple curve fitting procedure. However, analytical models need some unrealistic conditions to be supposed. Our method, based on finite difference approximation of the process governed by the Fickian diffusion equation and on the minimization of an objective function representing the disparity between the measured and simulated time-varying fluorescent particles concentration profiles, naturally accounts for experimentally measured time-varying Dirichlet boundary conditions and can include a reaction term as well. The result we get is the overall (time averaged) diffusion coefficient D and the sequence of diffusivities Dj based on two successive fluorescence profiles in j-th time interval. Due to the ill-posedness of our inverse problem, regularization algorithms are implemented. On the synthetic example, we illustrate the behaviour of solution depending on regularization parameter for different signal to noise ratio. (en)
Title	On estimation of diffusion coefficient based on spatio-temporal FRAP images: An inverse ill-posed problem On estimation of diffusion coefficient based on spatio-temporal FRAP images: An inverse ill-posed problem (en)
skos:prefLabel	On estimation of diffusion coefficient based on spatio-temporal FRAP images: An inverse ill-posed problem On estimation of diffusion coefficient based on spatio-temporal FRAP images: An inverse ill-posed problem (en)
skos:notation	RIV/60076658:12520/13:43886621!RIV14-MSM-12520___
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(ED2.1.00/01.0024)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Papáček, Štěpán Soukup, Jindřich
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Jihočeská univerzita v Českých Budějovicích / Fakulta rybářství a ochrany vod
http://linked.open...dnocenehoVysledku	93700
http://linked.open...ai/riv/idVysledku	RIV/60076658:12520/13:43886621
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	MOBILITY; RECOVERY (en)
http://linked.open.../riv/klicoveSlovo	MOBILITY RECOVERY
http://linked.open...ontrolniKodProRIV	[3A61628FB629]
http://linked.open...v/mistoKonaniAkce	Dolní Maxov, Česká republika
http://linked.open...i/riv/mistoVydani	Praha
http://linked.open...i/riv/nazevZdroje	PROGRAMS AND ALGORITHMS OF NUMERICAL MATHEMATICS 16
http://linked.open...in/vavai/riv/obor	BA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Matonoha, Ctirad Soukup, Jindřich Kaňa, Radek Papáček, Štěpán
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open...ain/vavai/riv/wos	000317994100016
http://linked.open.../riv/zahajeniAkce	2012-06-03 (xsd:date)
number of pages	12 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Institute of Mathematics, Academy of Sciences of the Czech Republic
https://schema.org/isbn	978-80-85823-62-2
http://localhost/t...ganizacniJednotka	12520

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 67 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software