FRAP & FLIP: Two Sides of the Same Coin?

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• 作者：艩t臎p谩n Pap谩膷ek (20)
  Ji艡i Jablonsk媒 (20)
  Ctirad Matonoha (21)
  Radek Ka艌a (22)
  Stefan Kindermann (23)
  
  20. Institute of Complex Systems ; South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses ; Faculty of Fisheries and Protection of Waters ; University of South Bohemia ; 膶esk茅 Bud臎jovice ; Z谩mek 136 ; Nov茅 Hrady ; 373 33 ; Czech Republic
  21. Institute of Computer Science ; Academy of Sciences of the Czech Republic ; Pod Vodarenskou vezi 2 ; 182 07 ; Prague 8 ; Czech Republic
  22. Institute of Microbiology ; Academy of Sciences of the Czech Republic ; Centre Algatech ; 379 81 ; Trebon ; Czech Republic
  23. Industrial Mathematics Institute ; Johannes Kepler University of Linz ; Altenbergerstr. 69 ; 4040 ; Linz ; Austria
  
• 关键词：FRAP ; FLIP ; sensitivity analysis ; parameter identification
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9044
• 期：1
• 页码：444-455
• 全文大小：509 KB
• 参考文献：1. http://www.biowes.org/
  2. Luk拧an, L., T暖ma, M., Matonoha, C., Vl膷ek, J., Rame拧ov谩, N., 艩i拧ka, M., Hartman, J.: UFO 2014 - Interactive system for universal functional optimization. Technical Report V-1191, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague (2011), http://www.cs.cas.cz/luksan/ufo.html
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  8. Pap谩膷ek, 艩., Ka艌a, R., Matonoha, C. (2013) Estimation of diffusivity of phycobilisomes on thylakoid membrane based on spatio-temporal FRAP images. Mathematical and Computer Modelling 57: pp. 1907-1912 CrossRef
  9. Ka艌a, R., Matonoha, C., Pap谩膷ek, 艩., Soukup, J.: On estimation of diffusion coefficient based on spatio-temporal FRAP images: An inverse ill-posed problem. In: Chleboun, J., Segeth, K., 艩铆stek, J., Vejchodsk媒, T. (eds.) Programs and Algorithms of Numerical Mathematics 16, pp. 100鈥?11 (2013)
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  12. Irrechukwu, O.N., Levenston, M.E. (2009) Improved Estimation of Solute Diffusivity Through Numerical Analysis of FRAP Experiments. Cellular and Molecular Bioengineering 2: pp. 104-117 CrossRef
  13. Pap谩膷ek, 艩., Jablonsk媒, J., Matonoha, C.: On two methods for the parameter estimation problem with spatio-temporal FRAP data. In: Chleboun, J., Segeth, K., 艩铆stek, J., Vejchodsk媒, T. (eds.) Programs and Algorithms of Numerical Mathematics 17, pp. 100鈥?11 (2015)
  14. Ka艌a, R., Kotabov谩, E., Luke拧, M., Pap谩膷ek, 艩., Matonoha, C., Liu, L.N., Pr谩拧il, O., Mullineaux, C.W. (2014) Phycobilisome Mobility and Its Role in the Regulation of Light Harvesting in Red Algae. Plant Physiology 165: pp. 1618-1631 CrossRef
  15. Mai, J., Trump, S., Ali, R., Schiltz, R.L., Hager, G., Hanke, T., Lehmann, I., Attinger, S. (2011) Are assumptions about the model type necessary in reaction-diffusion modeling? A FRAP application. Biophys. J. 100: pp. 1178-1188 CrossRef
  16. Kindermann, S., Pap谩膷ek, 艩.: On data space selection and data processing for parameter identification in a reaction-diffusion model based on FRAP experiments. Submitted to Abstract and Applied Analysis (2015)
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• 作者单位：Bioinformatics and Biomedical Engineering
• 丛书名：978-3-319-16479-3
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

The aim of this study is to point out the similarity and differences of data processing based on either FRAP (Fluorescence Recovery After Photobleaching) or FLIP (Fluorescence Loss In Photobleaching) experimental techniques. The core idea, closely related to the sensitivity analysis, is based on discerning between relevant and irrelevant data. Presented mathematical model allows to visualize the mutual relation between the FRAP and FLIP methods. The whole concept resides in the processing of full spatio-temporal data instead of the space averaged time series (FRAP recovery curves). The method theoretically confirms the empirical knowledge, that the mobility of fluorescent molecules can be determined with both FRAP and FLIP methods (using the full data approach). Our analysis, based on the idealized theoretical case study, supports the conclusions of our recent experiments and thus it validates the reliability of our new approach. The presented finding are expected to be reflected into experimental protocol setup as well as we will continue working on the further enhancing the method of parameter identification.