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Image space, analytical

The Maximum Entropy Method is used to perform the image reconstruction. The size of the FOV can be chosen to be between 5°x5 and 40 x40 , depending on the required angular resolution, available computer memory, and other computing limitations. The forward transform from the image space to the data space is composed of two separate transforms, as shown in Figure 1. The first one is a curved Radon transform. A numerical calculation of the curved Radon transform is implemented since no analytical form is... [Pg.58]

So far the requirements are the same as for finite or denumerable groups. If, in addition, it is now stipulated that the parameters of a product be analytic functions of the parameters of the factors7 and that the a be analytic functions of the a, the group is known as an r-parameter Lie group8. It is convenient to choose the parameters of a Lie group such that the image of the identity element E is the origin of the parameter space, i.e. E = x(0,0,..., 0). [Pg.86]

FIGURE 13 Interrelation between design space, PAT, and process control in a manufacturing system based on quality-by-design. (Source R. C. Lyon, Process monitoring of pilot-scale pharmaceutical blends by near-infrared chemical imaging and spectroscopy, Eastern Analytical Symposium (EAS), Somerset, NJ, 2006.)... [Pg.338]

Adsorption on surfaces has been studied with different methods well before the invention of STMs [43]. However, due to the real space image of STMs and their potential to study the processes in real-time, analytical methods become more and more focused on this instrument. In this context it is interesting to determine what an STM can tell us about the changes electron orbitals undergo during adsorption processes. [Pg.163]

THz sensing and imaging technology is relatively new with numerous applications from sectors as diverse as semiconductor, medical, manufacturing, space, and defense industries. In this chapter, a broad survey of terahertz-biodetection technology from its infancy to more recent biomedical use is presented. The focus is directed mainly on terahertz radiations that can be specifically applied to label-free ligand-analyte interaction. The uniqueness, limitations, and potential capabilities of THz biosensor are discussed. [Pg.286]

The concept of the "chemical composition/distribution matrix" is introduced in order to facilitate the interpretation of a chemical analysis when information about the spatial distribution of the analytes is included. Methods for displaying the chemical composition matrix as a "chemical image are discussed. Generally, the chemical content matrix is not obtained directly, but must be deduced from spectroscopic measurements at each point in space. [Pg.233]

While applying optical imaging detectors to analytical spectroscopy, we gradually began to appreciate their potential for elucidation of those problems of multicomponent analysis where it was desired not only to identify and quantitate each component but also to specify its location in space as well, i.e. when analytical chemistry was to be performed with spatial resolution. It is our belief that analytical chemists will become increasingly concerned with this problem in the next decade (15,16) and that optical imaging detectors will play a major role in its solution. [Pg.234]

Connolly (43,44) and Richmond (45) also developed analytical methods for calculating molecular surface area and volume, which provide nearly exact values for the surface area and enclosed volume. Richmond s method provides analytical derivatives for surface area with respect to the cartesian coordinates of the atoms, which may be useful for docking (Section V). Connolly s algorithm also produces spectacular shaded raster graphics images (46), which give a very different feel for a macromolecular surface than conventional space-filling displays. [Pg.6]


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Analytical image

Analytical imaging

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