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

Authors: Tuan D. Pham; Dzung Vo; Nhan Nguyen-Thanh; Truong Cong Thang; Kazuhisa Ichikawa;

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

Abstract

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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