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010   $a3-319-45384-X
024 7 $a10.1007/978-3-319-45384-2
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035   $a(DE-He213)978-3-319-45384-2
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100   $a20170927d2018      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aLabel-free and Multi-parametric Monitoring of Cell-based Assays with Substrate-embedded Sensors /$fby Maximilian Oberleitner
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (XXVI, 370 p. 138 illus., 122 illus. in color.) 
225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
311   $a3-319-45383-1 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aIntroduction -- Objectives -- Methods & Instrumentation -- MQCM: Multiple Cytomechanic Sensing -- QCM-ECIS: Combined Viscoelastic and Dielectric Sensing of Cells -- QCM-OCS: Optochemical Sensing of Temperature and pO2 in the Cell Surface Junction -- Summary -- Appendix.
330   $aThis thesis describes novel substrate embedded physical sensors that can be used to monitor different types of cell-based assays non-invasively and label-free. The sensors described provide integrative information of the cells under study with an adaptable time resolution (ranging from milliseconds to days). This information about the dynamic cell response to chemical, physical or biological stimuli defines a new paradigm in fundamental biomedical research. The author, Maximilian Oberleitner, describes approaches in which the cells are directly grown on different sensor surfaces (gold-film electrodes, shear wave resonators or dye-doped polymer films). This approach, with the reacting cells in particularly close proximity and contact with the sensor surface, is key to a remarkable sensitivity, opening the way for a variety of new applications. This thesis not only introduces the fundamentals of each approach, but it also describes in great detail the design principles and elucidates the boundary conditions of the new sensors.
410  0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
606   $aAnalytical chemistry
606   $aNanochemistry
606   $aDiagnosis, Laboratory
606   $aCell culture
606   $aBiophysics
606   $aBiophysics
606   $aAnalytical Chemistry$3https://scigraph.springernature.com/ontologies/product-market-codes/C11006
606   $aNanochemistry$3https://scigraph.springernature.com/ontologies/product-market-codes/C33000
606   $aLaboratory Medicine$3https://scigraph.springernature.com/ontologies/product-market-codes/B15007
606   $aCell Culture$3https://scigraph.springernature.com/ontologies/product-market-codes/L16020
606   $aBiological and Medical Physics, Biophysics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27008
615  0$aAnalytical chemistry.
615  0$aNanochemistry.
615  0$aDiagnosis, Laboratory.
615  0$aCell culture.
615  0$aBiophysics.
615  0$aBiophysics.
615 14$aAnalytical Chemistry.
615 24$aNanochemistry.
615 24$aLaboratory Medicine.
615 24$aCell Culture.
615 24$aBiological and Medical Physics, Biophysics.
676   $a610.28
700   $aOberleitner$b Maximilian$4aut$4http://id.loc.gov/vocabulary/relators/aut$0768468
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910298587703321
996   $aLabel-free and Multi-parametric Monitoring of Cell-based Assays with Substrate-embedded Sensors$91565448
997   $aUNINA