Contactless Investigation of Nuclear Mechanics of Normal and Lamin Mutant Cells Using a 3D Image- and Model-Based Framework

Author(s):  
Paula González ◽  
Michaela Reichenzeller ◽  
Roland Eils ◽  
Evgeny Gladilin

Apart from storing most of the DNA in eukaryotic cells, the cell nucleus provides mechanical protection through its nuclear envelope to ensure the integrity of the genome. The nuclear lamina is known to play an important role in this respect by supplying a structural framework for the nucleus [1]. The severe diseases arising from mutations in the LMNA gene confirm the importance of the lamin proteins for normal cell functionality [2]. Most experimental techniques for investigation of the cell mechanics are based on the application of external forces onto the cell boundary [3]. Thus, the quantitative determination of the mechanical properties of intracellular structures in situ, still represents a challenging task. In our previous works, we proposed a 3D image- and model-based framework for analysis of intracellular mechanics [4]. In this work, we extend this approach to a fully contactless investigation of nuclear mechanics of normal and LMNA–/– mutant cells. Differently from previous approaches, cellular deformation was induced by chemical agents, i.e., without any mechanical contact with the cell boundary. In particular, we focus on (i) comparative analysis of 3D structural response of nuclear matter with respect to external forces in normal and pathological cell, as well as (ii) determination of the scarcely-investigated nuclear compressibility (i.e. the Poisson’s ratio).

2012 ◽  
Vol 2012 ◽  
pp. 1-25 ◽  
Author(s):  
S. L. Han ◽  
Takeshi Kinoshita

The determination of an external force is a very important task for the purpose of control, monitoring, and analysis of damages on structural system. This paper studies a stochastic inverse method that can be used for determining external forces acting on a nonlinear vibrating system. For the purpose of estimation, a stochastic inverse function is formulated to link an unknown external force to an observable quantity. The external force is then estimated from measurements of dynamic responses through the formulated stochastic inverse model. The applicability of the proposed method was verified with numerical examples and laboratory tests concerning the wave-structure interaction problem. The results showed that the proposed method is reliable to estimate the external force acting on a nonlinear system.


2009 ◽  
Vol 277 (2) ◽  
pp. 96-106 ◽  
Author(s):  
E. Kriesten ◽  
M.A. Voda ◽  
A. Bardow ◽  
V. Göke ◽  
F. Casanova ◽  
...  

2012 ◽  
Vol 24 (6) ◽  
pp. 061903 ◽  
Author(s):  
D. Hartmann ◽  
W. Schröder ◽  
B. N. Shashikanth

1986 ◽  
Vol 71 ◽  
Author(s):  
I. Suni ◽  
M. Finetti ◽  
K. Grahn

AbstractA computer model based on the finite element method has been applied to evaluate the effect of the parasitic area between contact and diffusion edges on end resistance measurements in four terminal Kelvin resistor structures. The model is then applied to Al/Ti/n+ Si contacts and a value of contact resistivity of Qc = 1.8×10−7.Ωcm2 is derived. For comparison, the use of a self-aligned structure to avoid parasitic effects is presented and the first experimental results obtained on Al/Ti/n+Si and Al/CoSi2/n+Si contacts are shown and discussed.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Mohammad Reza Mahmoudi ◽  
Marzieh Rahmati ◽  
Zulkefli Mansor ◽  
Amirhosein Mosavi ◽  
Shahab S. Band

The productivity of researchers and the impact of the work they do are a preoccupation of universities, research funding agencies, and sometimes even researchers themselves. The h-index (h) is the most popular of different metrics to measure these activities. This research deals with presenting a practical approach to model the h-index based on the total number of citations (NC) and the duration from the publishing of the first article (D1). To determine the effect of every factor (NC and D1) on h, we applied a set of simple nonlinear regression. The results indicated that both NC and D1 had a significant effect on h ( p  < 0.001). The determination of coefficient for these equations to estimate the h-index was 93.4% and 39.8%, respectively, which verified that the model based on NC had a better fit. Then, to record the simultaneous effects of NC and D1 on h, multiple nonlinear regression was applied. The results indicated that NC and D1 had a significant effect on h ( p  < 0.001). Also, the determination of coefficient for this equation to estimate h was 93.6%. Finally, to model and estimate the h-index, as a function of NC and D1, multiple nonlinear quartile regression was used. The goodness of the fitted model was also assessed.


Sign in / Sign up

Export Citation Format

Share Document