3D image analysis

Table 2.1 lists some of the pore parameters obtained from a 3D image analysis of a fried product. Miri et al. (2006) studied the effect of frying time and temperature on crust formation and pore characteristics of French fries using the x-ray micro-CT technique, and conclnded that the method allowed not only a fundamental understanding of the frying process, but also a process design that would result in specific microstructnres. 

Functional Stem Cell Biomechanics Application of Biophysical Techniques and Multi-content 3D Image Analysis... 

In the present review, we will try to demonstrate that 3D microscopy has great advantages over the conventional methods to observe and analyze complex polymer structures. This review paper is organized in the following way. In Sect. 2, we briefly describe the basic principles of 3D microscopy that will be used later in this review paper. In Sect. 3, quantitative 3D image analysis for the 3D volume data on the basis of the geometry will be introduced. Section 4 is dedicated to the visualization of one of the transient... 

Progress in mean of modelisation and inverse problem solving [1] let us hope to dispose soon of these tools for flaws 3D imaging in Non Destructive Control with eddy current sensors. This will achieve a real improvement of the actual methods, mainly based upon signature analysis. But the actual eddy current probes used for steam generators tubes inspection in nuclear industry do not produce the adequate measurements and/or are not modelisable. 

MAWI - software tool for 3D image processing developed especially for the analysis of images of microstructures (http //www.itwm.fraunhofer.de/mab/ projects/MAVI)... 

As a result of 3D SIMS analysis, a stack of multivariate images is stored which can be described in case of qualitative species information by... 

BioImageXD Image analysis GUI http //www.bioimagexd.net For 3D images... 

Multivariate Image Analysis Strong and Weak Multiway Methods Strong and weak -way methods analyze 3D and 2D matrices, respectively. Hyperspectral data cube structure is described using chemometric vocabulary [17]. A two-way matrix, such as a classical NIR spectroscopy data set, has two modes object (matrix lines) and V variables (matrix columns). Hyperspectral data cubes possess two object modes and one variable mode and can be written as an OOV data array because of their two spatial directions. 

Image analysis provide information based on the number of cells examined the question of the volume is therefore often raised, as some other sizing systems (Coulter counter, laser diffraction granulometers) provide volume-based results. It is important to note that, because an image is essentially a plane, volume estimation will require some assumption on the 3D-shape. Bacteria are often considered as cylinders with hemispherical ends at each side. Based on these simple geometrical assumptions their volume can be computed [94,95] ... 

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