Mueller matrix polarimetry for the characterization of complex random medium like biological tissues

Pramana ◽  
2010 ◽  
Vol 75 (6) ◽  
pp. 1071-1086 ◽  
Author(s):  
Nirmalya Ghosh ◽  
Jalpa Soni ◽  
M. F. G. Wood ◽  
M. A. Wallenberg ◽  
I. A. Vitkin
2004 ◽  
Author(s):  
Shuliang Jiao ◽  
Tseng-Ming Hsieh ◽  
Jun Ai ◽  
Milos Todorovic ◽  
George Stoica ◽  
...  

Biology ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 64
Author(s):  
Arnaud Millet

The mechanosensitivity of cells has recently been identified as a process that could greatly influence a cell’s fate. To understand the interaction between cells and their surrounding extracellular matrix, the characterization of the mechanical properties of natural polymeric gels is needed. Atomic force microscopy (AFM) is one of the leading tools used to characterize mechanically biological tissues. It appears that the elasticity (elastic modulus) values obtained by AFM presents a log-normal distribution. Despite its ubiquity, the log-normal distribution concerning the elastic modulus of biological tissues does not have a clear explanation. In this paper, we propose a physical mechanism based on the weak universality of critical exponents in the percolation process leading to gelation. Following this, we discuss the relevance of this model for mechanical signatures of biological tissues.


2012 ◽  
Author(s):  
Karla K. Gómez ◽  
María L. Del Prado ◽  
M. Cristina Piña ◽  
M. Carmen García de León
Keyword(s):  

2015 ◽  
Vol 77 (28) ◽  
Author(s):  
Azmi Abou Basaif ◽  
Nashrul Fazli Mohd Nasir ◽  
Zulkarnay Zakaria ◽  
Ibrahim Balkhis ◽  
Shazwani Sarkawi ◽  
...  

The enhanced ability to detect accurate location and measure the depth of a   metal inside a biological tissue is very useful in the assessment of medical condition and treatment. This manuscript proposed a solution via the measurement of the tissue properties using magnetic induction spectroscopy (MIS) method to describe the characterization of biological soft tissue. The objective of this study is to explore the viability of locating embedded metal inside a biological tissue by measuring the differences the biological tissue electrical properties using principle of Magnetic Induction Spectroscopy (MIS). Simulation is done using COMSOL Multiphysics software for accurate information on the involved parameters for both metal and biological tissues. Simulation has confirmed that MIS capable of detecting and locate embedded metal inside a biological tissue.


2014 ◽  
Vol 117 (1) ◽  
pp. 152-157 ◽  
Author(s):  
V. A. Ushenko ◽  
M. I. Sidor ◽  
Yu. F. Marchuk ◽  
N. V. Pashkovskaya ◽  
D. R. Andreichuk

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