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Digital image analyzer

A clear goal of a particle examination is the attempt to relate some property of the individual particles to some bulk physical property of the powder. For example, the dissolution rate of drug substance in the body can often be related to the size of the dmg substance particles [22]. A microscopical examination has the maximum utility if it can relate some measured property of the particles to some physical property of the bulk. Establishing this sort of relationship nearly always requires a numerical analysis of size. While it is possible to measure or estimate particle size using only a microscope and microscopist, the operation is tedious and prone to operator error. The use of a digital image analyzer can, in some cases, completely automate the analysis, and in other cases, automate some of the more tedious and error-prone operations of the work. [Pg.313]

There is a confusing array of measurement options in modem digital image analyzers. Besides area and perimeter, it is possible to obtain measurements of geometrical features such as equivalent circular diameter, aspect ratio, shape factors, Feret diameters, Martin diameters, to name just a few. In most instruments, the operator has the flexibility to design his or her own geometrical property using the built-in measurements in some mathematical combination defined by the... [Pg.316]

Table 6.3 Average particle size and particle size distribution using digital image analyzer... Table 6.3 Average particle size and particle size distribution using digital image analyzer...
Keywords— Morphometric relation. Digital image analyzer. Tooth, Face. [Pg.659]

Pd on Carbon. The catalyst analyzed here is a commercial hydrogenation catalyst with 5% Pd supported on activated carbon (Alfa). The catalyst was ground in a mortar and pestle and dispersed dry onto a carbon coated Cu grid. While x-ray spectra from heavy metal particles down to 2nm in diameter can be obtained (O by manually directing the electron beam to the particle, digital images of Pd particles at high resolution have not been obtained previously. [Pg.366]

CCTV technology is used to analyze digital images and identify the characteristics of a fire. CCTV can provide both a control action and display the picture in a staffed control room. The latter has a particular benefit as it allows very rapid incident assessment and also reduces the need for personnel to enter the area to investigate the fire conditions. In general terms, the CCTV flame detection system is comprised of three basic components the camera/detection element, the control panel, and the display computers. [Pg.192]

Beside the identification of single bacterial cell or spores by means of Raman spectroscopy, the localization of these cells inside partly complex matrices has to be performed. One approach is the combination of Raman spectroscopy, fluorescence spectroscopy and digital imaging techniques. This method was applied to detect traces of endospores and other biothreat organisms even in the presence of complex environmental matrices like bioaeroso-lic background, nasal mucin [67], or tap water [68], Another fully automated device was built to analyze bioaerosols in clean room environments, where prior to the Raman identification method a particle preselection took place [69]. [Pg.452]

Analyzing the digital image according to a specific application or clinical need. [Pg.212]

Gamma ray detection Counter detector Nuclear magnetic resonance spectrum is analyzed by a computer and give digital images... [Pg.971]

A novel flow cell has been developed to observe on a microscopic level the steady state, cocurrent flow of two pre-equilibrated phases in a porous medium. It consists of a rectangular capillary tube packed with a bilayer of monodisperse glass beads 109 microns in diameter. The pore sizes in the model are of the order of magnitude of those in petroleum reservoirs. An enhanced videomicroscopy and digital imaging system is used to record and analyze the flow data. [Pg.258]

At present up to 128 video frames can be digitized and further processed with the image analyzing system CA-1. [Pg.33]

Digitalize and analyze the mean gray scale value (MGSV) of the entire image. [Pg.122]


See other pages where Digital image analyzer is mentioned: [Pg.430]    [Pg.126]    [Pg.252]    [Pg.7499]    [Pg.1018]    [Pg.430]    [Pg.126]    [Pg.252]    [Pg.7499]    [Pg.1018]    [Pg.130]    [Pg.233]    [Pg.167]    [Pg.167]    [Pg.191]    [Pg.317]    [Pg.74]    [Pg.92]    [Pg.36]    [Pg.258]    [Pg.106]    [Pg.124]    [Pg.99]    [Pg.146]    [Pg.201]    [Pg.27]    [Pg.30]    [Pg.133]    [Pg.426]    [Pg.401]    [Pg.130]    [Pg.179]    [Pg.180]    [Pg.181]    [Pg.170]    [Pg.544]    [Pg.343]    [Pg.22]    [Pg.812]    [Pg.432]    [Pg.575]    [Pg.514]    [Pg.346]   
See also in sourсe #XX -- [ Pg.659 ]




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