scholarly journals 3D Strain and Elasticity Measurement of Layered Biomaterials by Optical Coherence Elastography based on Digital Volume Correlation and Virtual Fields Method

2019 ◽  
Vol 9 (7) ◽  
pp. 1349 ◽  
Author(s):  
Fanchao Meng ◽  
Xinya Zhang ◽  
Jingbo Wang ◽  
Chuanwei Li ◽  
Jinlong Chen ◽  
...  
Keyword(s):  
Automatic Segmentation ◽  
Strain Tensor ◽  
Three Dimensional ◽  
Biological Tissues ◽  
Digital Volume Correlation ◽  
Optical Coherence ◽  
Virtual Fields Method ◽  
Full Field ◽  
Elasticity Measurement

The three-dimensional (3D) mechanical property characterization of biological tissues is essential for physiological and pathological studies. A digital volume correlation (DVC) and virtual fields method (VFM) based 3D optical coherence elastography (OCE) method is developed to quantitatively measure the 3D full-field displacements, strains and elastic parameters of layered biomaterials assuming the isotropy and homogeneity of each layer. The integrated noise-insensitive DVC method can obtain the 3D strain tensor with an accuracy of 10%. Automatic segmentation of the layered materials is realized based on the full field strain and strain gradient. With the strain tensor as input, and in combination with the segmented geometry, the Young’s modulus and Poison’s ratio of each layer of a double-layered material and a pork specimen are obtained by the VFM. This study provides a powerful experimental method for the differentiation of various components of heterogeneous biomaterials, and for the measurement of biomechanics.

scholarly journals Label-free characterization of vitrification-induced morphology changes in single-cell embryos with full-field optical coherence tomography

2015 ◽  
Vol 20 (9) ◽  
pp. 096004 ◽  
Author(s):  
Livia Zarnescu ◽  
Michael C. Leung ◽  
Michael Abeyta ◽  
Helge Sudkamp ◽  
Thomas Baer ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Single Cell ◽  
Optical Coherence ◽  
Label Free ◽  
Full Field ◽  
Morphology Changes

Fully automatic segmentation and characterization of in vivo esophageal tissue by optical coherence tomography (Conference Presentation)

2016 ◽  
Author(s):  
Giovanni Jacopo J. Ughi ◽  
Michalina J. Gora ◽  
Anne-Fre Swager ◽  
Mireille Rosenberg ◽  
Jenny Sauk ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Automatic Segmentation ◽  
Optical Coherence ◽  
Esophageal Tissue ◽  
Fully Automatic

scholarly journals A Mesh-Based Monte Carlo Study for Investigating Structural and Functional Imaging of Brain Tissue Using Optical Coherence Tomography

2019 ◽  
Vol 9 (19) ◽  
pp. 4008
Author(s):  
Luying Yi ◽  
Liqun Sun ◽  
Mingli Zou ◽  
Bo Hou
Keyword(s):  
Optical Coherence Tomography ◽  
Monte Carlo ◽  
Brain Imaging ◽  
Brain Tissue ◽  
Three Dimensional ◽  
Hemoglobin Concentration ◽  
Monte Carlo Study ◽  
Biological Tissues ◽  
Optical Coherence ◽  
Quantitative Accuracy

Optical coherence tomography (OCT) can obtain high-resolution three-dimensional (3D) structural images of biological tissues, and spectroscopic OCT, which is one of the functional extensions of OCT, can also quantify chromophores of tissues. Due to its unique features, OCT has been increasingly used for brain imaging. To support the development of the simulation and analysis tools on which OCT-based brain imaging depends, a model of mesh-based Monte Carlo for OCT (MMC-OCT) is presented in this work to study OCT signals reflecting the structural and functional activities of brain tissue. In addition, an approach to improve the quantitative accuracy of chromophores in tissue is proposed and validated by MMC-OCT simulations. Specifically, the OCT-based brain structural imaging was first simulated to illustrate and validate the MMC-OCT strategy. We then focused on the influences of different wavelengths on the measurement of hemoglobin concentration C, oxygen saturation Y, and scattering coefficient S in brain tissue. Finally, it is proposed and verified here that the measurement accuracy of C, Y, and S can be improved by selecting appropriate wavelengths for calculation, which contributes to the experimental study of brain functional sensing.

Nanoscale Three-Dimensional Microstructural Characterization of an Sn-Rich Solder Alloy Using High-Resolution Transmission X-Ray Microscopy (TXM)

2016 ◽  
Vol 22 (4) ◽  
pp. 808-813 ◽  
Author(s):  
Chandrashekara S. Kaira ◽  
Carl R. Mayer ◽  
V. De Andrade ◽  
Francesco De Carlo ◽  
Nikhilesh Chawla
Keyword(s):  
Fresnel Zone ◽  
Three Dimensional ◽  
Microstructural Characterization ◽  
Second Phase ◽  
Full Field ◽  
X Ray ◽  
Second Phase Particles ◽  
Rich Alloy ◽  
Nanoscale Features

AbstractThree-dimensional (3D) nondestructive microstructural characterization was performed using full-field transmission X-ray microscopy on an Sn-rich alloy, at a spatial resolution of 60 nm. This study highlights the use of synchrotron radiation along with Fresnel zone plate optics to perform absorption contrast tomography for analyzing nanoscale features of fine second phase particles distributed in the tin matrix, which are representative of the bulk microstructure. The 3D reconstruction was also used to quantify microstructural details of the analyzed volume.

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