On two methods for the parameter estimation problem with spatio-temporal frap data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F15%3A43888588" target="_blank" >RIV/60076658:12520/15:43888588 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/15:00444130
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
On two methods for the parameter estimation problem with spatio-temporal frap data
Original language description
FRAP (Fluorescence Recovery After Photobleaching) is a measurement technique for determination of the mobility of fluorescent molecules (presumably due to the diffusion process) within the living cells. While the experimental setnp and protocol are usually fixed, the method used for the model parameter estimat ion, i.e. the data processing step, is not well established. In order to enhance the quantitative analysis of experimental ( noisy) FRAP data, we !irstly formulate the inverse problem of model parameter estimation and then we focus on how the different methods of data preprocessing influence the confidence interval of the estimated paramet ers, namely the diffusion constant p. Finally, we present a preliminary study of two methods for the computation of a least-squares estimate p and its confidence interval.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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