Three-Dimensional Quantification of Myocardial Collagen Morphology from Confocal Images

2017 ◽  
pp. 3-12 ◽  
Author(s):  
Abdallah I. Hasaballa ◽  
Gregory B. Sands ◽  
Alexander J. Wilson ◽  
Alistair A. Young ◽  
Vicky Y. Wang ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Confocal Images ◽  
Myocardial Collagen

Three-dimensional image analysis and visualization in confocal light microscopy

1993 ◽  
Vol 51 ◽  
pp. 158-159
Author(s):  
J. K. Samarabandu ◽  
R. Acharya ◽  
D. R. Pareddy ◽  
P. C. Cheng
Keyword(s):  
Depth Perception ◽  
Computer Graphic ◽  
Three Dimensional ◽  
Cellular Organization ◽  
Data Set ◽  
Computational Burden ◽  
Interactive Operation ◽  
Cell Organization ◽  
Confocal Images ◽  
3D Digitization

In the study of cell organization in a maize meristem, direct viewing of confocal optical sections in 3D (by means of 3D projection of the volumetric data set, Figure 1) becomes very difficult and confusing because of the large number of nucleus involved. Numerical description of the cellular organization (e.g. position, size and orientation of each structure) and computer graphic presentation are some of the solutions to effectively study the structure of such a complex system. An attempt at data-reduction by means of manually contouring cell nucleus in 3D was reported (Summers et al., 1990). Apart from being labour intensive, this 3D digitization technique suffers from the inaccuracies of manual 3D tracing related to the depth perception of the operator. However, it does demonstrate that reducing stack of confocal images to a 3D graphic representation helps to visualize and analyze complex tissues (Figure 2). This procedure also significantly reduce computational burden in an interactive operation.

Zonal Poisson Effect on the Chondron Deformation in Articular Cartilage under Compression

2007 ◽  
Vol 342-343 ◽  
pp. 133-136
Author(s):  
Jae Bong Choi
Keyword(s):  
Extracellular Matrix ◽  
Articular Cartilage ◽  
Mechanical Response ◽  
Three Dimensional ◽  
Pericellular Matrix ◽  
Poisson Effect ◽  
Type Vi Collagen ◽  
Confocal Images ◽  
Three Dimensional Models

The objective of this study was to quantify the zonal difference of the in situ chondron’s Poisson effect under different magnitudes of compression. Fluorescence immunolabeling for type VI collagen was used to identify the pericellular matrix (PCM) and chondron, and a series of fluorescent confocal images were recorded and reconstructed to form quantitative three-dimensional models. The zonal variations in the mechanical response of the chondron do not appear to be due to zonal differences in PCM properties, but rather seem to result from significant inhomogeneities in relative stiffnesses of the extracellular matrix (ECM) and PCM with depth.

Three-dimensional visualization of confocal images of wood pulp fibres

1992 ◽  
Vol 11 (21) ◽  
pp. 1416-1418 ◽  
Author(s):  
A. G. Robertson ◽  
H. F. Jang ◽  
R. S. Seth
Keyword(s):  
Three Dimensional ◽  
Wood Pulp ◽  
Pulp Fibres ◽  
Confocal Images

Layer thickness and curvature effects on otoconial membrane deformation in the utricle of the red-ear slider turtle: Static and modal analysis

2008 ◽  
Vol 17 (4) ◽  
pp. 145-162
Author(s):  
J.L. Davis ◽  
J. Xue ◽  
E.H. Peterson ◽  
J.W. Grant
Keyword(s):  
Modal Analysis ◽  
Three Dimensional ◽  
Head Movements ◽  
Finite Element Models ◽  
Static Tests ◽  
Curvature Effects ◽  
Slider Turtle ◽  
Static Mechanical ◽  
Confocal Images ◽  
Geometric Variables

Finite element models of otoconial membrane (OM) were developed to investigate the effects of three geometric variables on static and modal response of the OM: (1) curvature of the macular surface, (2) spatial variation in thicknesses of three OM layers, and (3) shape of the macular perimeter. A geometrically accurate model of a turtle utricle was constructed from confocal images. Modifying values for each variable formed variants of this model: modeling the macula surface as flat, OM layer thicknesses as spatially invariant, and the macular perimeter as a rectangle. Static tests were performed on each modified OM model, and the results were compared to determine the effects of each geometric variable on static mechanical gain (deflection per unit acceleration). Results indicate that all three geometric variables affect the magnitude and directional properties of OM static mechanical gain. In addition, through modal analysis, we determined the natural frequencies and displacement modes of each model, which illustrate the effects of the three geometric variables on OM dynamics. This study indicates the importance of considering three-dimensional OM geometry when attempting to understand responses of the OM and, therefore, the modulation of hair cell signals to accelerations during head movements.

Imaging Samples in Silica Aerogel Using an Experimental Point Spread Function

2014 ◽  
Vol 21 (1) ◽  
pp. 172-178 ◽  
Author(s):  
Amanda J. White ◽  
Denton S. Ebel
Keyword(s):  
Biological Sciences ◽  
Point Spread Function ◽  
Silica Aerogel ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Volume Measurement ◽  
Experimental Point ◽  
Point Spread ◽  
Spread Function ◽  
Confocal Images

AbstractLight microscopy is a powerful tool that allows for many types of samples to be examined in a rapid, easy, and nondestructive manner. Subsequent image analysis, however, is compromised by distortion of signal by instrument optics. Deconvolution of images prior to analysis allows for the recovery of lost information by procedures that utilize either a theoretically or experimentally calculated point spread function (PSF). Using a laser scanning confocal microscope (LSCM), we have imaged whole impact tracks of comet particles captured in silica aerogel, a low density, porous SiO2 solid, by the NASA Stardust mission. In order to understand the dynamical interactions between the particles and the aerogel, precise grain location and track volume measurement are required. We report a method for measuring an experimental PSF suitable for three-dimensional deconvolution of imaged particles in aerogel. Using fluorescent beads manufactured into Stardust flight-grade aerogel, we have applied a deconvolution technique standard in the biological sciences to confocal images of whole Stardust tracks. The incorporation of an experimentally measured PSF allows for better quantitative measurements of the size and location of single grains in aerogel and more accurate measurements of track morphology.

Analysis of Orientations of Collagen Fibers by Novel Fiber-Tracking Software

2003 ◽  
Vol 9 (6) ◽  
pp. 574-580 ◽  
Author(s):  
Jun Wu ◽  
Bartłomiej Rajwa ◽  
David L. Filmer ◽  
Christoph M. Hoffmann ◽  
Bo Yuan ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Collagen Type I ◽  
Type I ◽  
Collagen Gels ◽  
Microscopy Imaging ◽  
Bovine Collagen ◽  
Confocal Images ◽  
Tracing Algorithm ◽  
Highly Correlated ◽  
Processing Techniques

Recent evidence supports the notion that biological functions of extracellular matrix (ECM) are highly correlated to not only its composition but also its structure. This article integrates confocal microscopy imaging and image-processing techniques to analyze the microstructural properties of ECM. This report describes a two- and three-dimensional fiber middle-line tracing algorithm that may be used to quantify collagen fibril organization. We utilized computer simulation and statistical analysis to validate the developed algorithm. These algorithms were applied to confocal images of collagen gels made with reconstituted bovine collagen type I, to demonstrate the computation of orientations of individual fibers.

scholarly journals Novel Features of the Rabbit Transverse Tubular System Revealed by Quantitative Analysis of Three-Dimensional Reconstructions from Confocal Images

2008 ◽  
Vol 95 (4) ◽  
pp. 2053-2062 ◽  
Author(s):  
Eleonora Savio-Galimberti ◽  
Joy Frank ◽  
Masashi Inoue ◽  
Joshua I. Goldhaber ◽  
Mark B. Cannell ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Three Dimensional ◽  
Transverse Tubular System ◽  
Tubular System ◽  
Confocal Images

Three-dimensional structural analysis from biological confocal images

1992 ◽  
Author(s):  
Jagath K. Samarabandu ◽  
Raj S. Acharya ◽  
Ping C. Cheng ◽  
C. Meng ◽  
Ronald Berezney ◽  
...  
Keyword(s):  
Structural Analysis ◽  
Three Dimensional ◽  
Confocal Images
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