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How Complex Is Canc...
How Complex Is Cancer Intracellular Signaling Space in FIB-SEM Images?
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- Pham, Tuan D (author)
- Aizu Research Cluster for Medical Engineering and Informatics, Center for Advanced Information Science and Technology, The University of Aizu, Aizuwakamatsu, Fukushima, Japan,Aizu Res. Cluster for Med. Eng. & Inf., Univ. of Aizu, Aizuwakamatsu, Japan
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- Vo, Dzung (author)
- Computer Communications Laboratory, School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, Japan,Aizuwakamatsu, Fukushima 965-8580, Japan
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- Nguyen-Thanh, Nhan (author)
- Aizu Research Cluster for Medical Engineering and Informatics, Center for Advanced Information Science and Technology, The University of Aizu, Aizuwakamatsu, Fukushima, Japan,The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan
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- Thang, Truong Cong (author)
- 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,The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan
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- Ichikawa, Kazuhisa (author)
- Department of Cancer Biology, Division of Mathematical Oncology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan,The University of Tokyo, Tokyo 108-8639, Japan
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Aizu Research Cluster for Medical Engineering and Informatics, Center for Advanced Information Science and Technology, The University of Aizu, Aizuwakamatsu, Fukushima, Japan Aizu Res Cluster for Med. Eng. & Inf., Univ. of Aizu, Aizuwakamatsu, Japan (creator_code:org_t)
- IEEE Computer Society, 2012
- 2012
- English.
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In: Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation (EMS), 2012. - : IEEE Computer Society. - 9781467349772 ; , s. 139-142
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Medicinsk bioteknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Medical Biotechnology (hsv//eng)
Keyword
- Intracellular space; cancer modeling; nonlinear dynamical analysis; system complexity
Publication and Content Type
- ref (subject category)
- kon (subject category)
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