Estimation of dynamic metabolic activity in micro-tissue cultures from sensor recordings with an FEM model.
We estimated the dynamic cell metabolic activity and the distribution of the pH value and oxygen concentration in tissue samples cultured in vitro by using real-time sensor records and a numerical simulation of the underlying reaction-diffusion processes. As an experimental tissue model, we used chi...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 54; no. 5; pp. 763 - 773 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
May2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=114606455&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 114606455 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: May2016 vid: 54 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 114606455 114606455 NLM26296800 114606455 10.1007/s11517-015-1367-7 NLM26296800 114606455 ppf: 763 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Estimation of dynamic metabolic activity in micro-tissue cultures from sensor recordings with an FEM model. aug: au: Pfister, Cornelia Forstmeier, Christian Biedermann, Johannes Schermuly, Julia Demmel, Franz Wolf, Peter Kaspers, Bernd Brischwein, Martin affil: Heinz Nixdorf-Lehrstuhl für Medizinische Elektronik, Technische Universität München, Theresienstr. 90/N3 80333 Munich Germany sug: subj: Tissue Culture Techniques Equipment and Supplies Models, Biological Finite Element Analysis Tissue Culture Techniques Methods Hydrogen-Ion Concentration Poultry Acids Metabolism Animal Studies Extracellular Space Metabolism Oxygen Metabolism Partial Pressure Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: We estimated the dynamic cell metabolic activity and the distribution of the pH value and oxygen concentration in tissue samples cultured in vitro by using real-time sensor records and a numerical simulation of the underlying reaction-diffusion processes. As an experimental tissue model, we used chicken spleen slices. A finite element method model representing the biochemical processes and including the relevant sensor data was set up. By fitting the calculated results to the measured data, we derived the spatiotemporal values of the pH value, the oxygen concentration and the absolute metabolic activity (extracellular acidification and oxygen uptake rate) of the samples. Notably, the location of the samples in relation to the sensors has a great influence on the detectable metabolic rates. The long-term vitality of the tissue samples strongly depends on their size. We further discuss the benefits and limitations of the model. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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