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How Complex Is Cancer Intracellular Signaling Space in FIB-SEM Images?
Aizu Research Cluster for Medical Engineering and Informatics, Center for Advanced Information Science and Technology, The University of Aizu, Aizuwakamatsu, Fukushima, Japan.ORCID iD: 0000-0002-4255-5130
Computer Communications Laboratory, School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, Japan.
Aizu Research Cluster for Medical Engineering and Informatics, Center for Advanced Information Science and Technology, The University of Aizu, Aizuwakamatsu, Fukushima, Japan.
Aizu Research Cluster for Medical Engineering and Informatics, Center for Advanced Information Science and Technology, Computer Communications Laboratory, School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, Japan.
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2012 (English)In: Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation (EMS), 2012, IEEE Computer Society, 2012, p. 139-142Conference paper, Published paper (Refereed)
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Text
Abstract [en]

How cell regulates its intracellular features to optimize their signaling pathways is still far from understanding. Recent advancement in microscopy imaging of the structure of cell organelles enables biomedical researchers to study cell morphology in great detail to discover the pathogeneses of diseases by information obtained at molecular level. A particular interest is to quantify the complexity of the spatial content of the intracellular space captured by the combination of focused ion beam (FIB) and scanning electron microscope (SEM) imaging systems. Such quantitative measure of the complexity of organelles is expected to be a useful tool for benchmarking biological simulations of cancers and controlling disease-specific drug effects. In this paper, for the first time nonlinear dynamical models are utilized to investigate the structural characteristics of intracellular space using FIB-SEM technology to quantify the complex architecture of cell organelles.

Place, publisher, year, edition, pages
IEEE Computer Society, 2012. p. 139-142
Keywords [en]
Intracellular space; cancer modeling; nonlinear dynamical analysis; system complexity
National Category
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Identifiers
URN: urn:nbn:se:liu:diva-125063DOI: 10.1109/EMS.2012.25ISBN: 9781467349772 (print)OAI: oai:DiVA.org:liu-125063DiVA, id: diva2:902691
Conference
Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation (EMS), Valetta, Malta, 14-16 Nov. 2012
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2016-02-22Bibliographically approved

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Pham, Tuan D

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Pham, Tuan D
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)

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