Parameter Identification Problem Based on FRAP Images: From Data Processing to Optimal Design of Photobleaching Experiments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F16%3A00459275" target="_blank" >RIV/67985807:_____/16:00459275 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-40361-8_14" target="_blank" >http://dx.doi.org/10.1007/978-3-319-40361-8_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-40361-8_14" target="_blank" >10.1007/978-3-319-40361-8_14</a>
Alternative languages
Result language
angličtina
Original language name
Parameter Identification Problem Based on FRAP Images: From Data Processing to Optimal Design of Photobleaching Experiments
Original language description
The aim of this study is to make a step towards optimal design of photobleaching experiments. The photobleaching techniques, mainly FRAP (Fluorescence Recovery After Photobleaching), are widely used since 1970’s to determine the mobility of fluorescent molecules within the living cells. While many rather empirical recommendations for the experimental setup have been made in past decades, no rigorous mathematical study concerning optimal design of FRAP experiments exists. In this paper, we formulate and solve the inverse problem of data processing of FRAP images leading to the underlaying model parameter identification. The key concept relies on the analysis of sensitivity of the measured outputs on the model parameters. It permits to represent the resulting parameter estimate as random variable, i.e., we can provide both the mean value and standard error or corresponding confidence interval. Based on the same sensitivity-based approach we further optimize experimental design factors, e.g., the radius of bleach spot. The reliability of our new approach is shown on a numerical example.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
High Performance Computing in Science and Engineering
ISBN
978-3-319-40360-1
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
186-195
Publisher name
Springer
Place of publication
Cham
Event location
Soláň - Beskydy
Event date
May 25, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000386324600014