How Complex is Cancer Intracellular Signaling Space in FIB-SEM Images?

被引：0

作者：

Pham, Tuan D. ^{[1
]}

Vo, Dzung ^{[2
]}

Nhan Nguyen-Thanh ^{[1
]}

Truong Cong Thang ^{[1
,2
]}

Ichikawa, Kazuhisha ^{[3
]}

机构：

[1] Univ Aizu, Ctr Adv Informat Sci & Technol, Aizu Res Cluster Med Engn & Informat, Aizu Wakamatsu, Fukushima 9658580, Japan

[2] Univ Aizu, Sch Comp Sci & Engn, Comp Commun Lab, Aizu Wakamatsu, Fukushima 9658580, Japan

[3] Univ Tokyo, Inst Med Sci, Div Math Oncol, Dept Canc Biol, Tokyo 1088639, Japan

来源：

2012 Sixth UKSim/AMSS European Symposium on Computer Modelling and Simulation (EMS) | 2012年

关键词：

Intracellular space; cancer modeling; system complexity; nonlinear dynamical analysis; APPROXIMATE ENTROPY; SAMPLE ENTROPY; MICROSCOPY;

D O I：

10.1109/EMS.2012.25

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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 controling 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.

引用

页码：139 / 142

页数：4

共 16 条

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