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Fig. 3. Data from a 2-D difference gel electrophoresis (DICE) experiment can be viewed in a number of ways in DeCyder 2-D, including 2-D spot maps, 3-D images visualizing specific spot intensities, and graphical depiction comparing the abundance of each matched spot across the samples in the experiment. This experiment compared lung tissue (universal control, UC) against tissue exposed to smoke (Smoke) and tissue exposed to smoke in the presence of an inhibitor (Ini or In2). All possible t-test and average ratio values can be calculated very easily as shown for this spot. Unpublished data from samples kindly provided by Dr. Koustubh Panda, Cleveland Clinic Foundation. Fig. 3. Data from a 2-D difference gel electrophoresis (DICE) experiment can be viewed in a number of ways in DeCyder 2-D, including 2-D spot maps, 3-D images visualizing specific spot intensities, and graphical depiction comparing the abundance of each matched spot across the samples in the experiment. This experiment compared lung tissue (universal control, UC) against tissue exposed to smoke (Smoke) and tissue exposed to smoke in the presence of an inhibitor (Ini or In2). All possible t-test and average ratio values can be calculated very easily as shown for this spot. Unpublished data from samples kindly provided by Dr. Koustubh Panda, Cleveland Clinic Foundation.
However, other solution approaches try to realize the adaptation of depth with changing of the focus. The eye s focus is measured by meeuis of a laser beam reflected by the retina, and in consequence the depth of focus is followed by image visualization (Arrkstakalnis rmd Blatner 1992). [Pg.2505]

Since Mertz and Young (1961) introduced the concept of indirect imaging using shadows cast by Fresnel Zone plates, a wide range of patterns has been proposed for what has become known as coded mask imaging . Visually some of these patterns are strikingly different, while in many cases their performance, encapsulated in the autocorrelation function (ACE) of the mask pattern, is identical to that of other patterns. We present a compilation of patterns which have been proposed. [Pg.177]

Chen. H., Hughes. D. D., Chan. T., Sedat. J. W., and Agard. D. A. (1996). IVE (Image Visualization Environment) A software platform for all three-dimensional microscopy applications. J. Struct. Biot 116,. 56-60. [Pg.75]

The AFM images visualize why asphaltenes alone can stabilize emulsions while films dominated by the resin Ifac-tion do not. Hence, when the amount of resins present in the film is so large that the structure in the film changes toward a more open fractal network, the efficiency of film components as emulsifier is reduced. [Pg.617]

It is important to keep in mind that the AFM images visualize conditions in Langmuir films at the aqueous surface. Once again all interactions between an oil phase and interfacial components are lacking. In a real W/0 emulsion there are no guaranteees that all these components will be present at the W/0 interface due to solubility in the oil phase. Hence, results from an AFM study of LB films... [Pg.617]

Stochastic resonance of a threshold detector image visualization and explanation, IEEE International Symposium on Circuits and Systems, vol. 4, pp.521-523. [Pg.227]


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Image visualizations rasterization

Visual images

Visual images

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