Titlebook: Computer Graphics in Biology; Robert Ransom,Raymond J. Matela Book 1986 Robert Ransom and Raymond J. Matela 1986 Area.Factor.algorithms.bi

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,Contr?le des machines à équilibrer,ellular patterns are to be studied, the relationships of organelles or cells must be considered. Various methods exist for separating components: at the ultrastructural level centrifugation may be used, and at a higher level microdissection is often possible. There are several problems inherent in t

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,Tolérances et évaluation du rotor rigide,type of analysis is that individual elements should be identifiable on the sections for digitization. Often, however, this kind of analysis is not feasible: the complexity of the data may preclude digitization altogether, for example, and in many cases the computer analysis is itself needed to work

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https://doi.org/10.1007/978-94-010-0522-7me of these techniques involve the most straightforward kinds of movement of graphic data: transformations like rotation, scaling, and translation. You have seen for example in Chapter 10 that application of rotations in real-time can give a dynamic picture of the structure of molecules. The present

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Computers in Biology Serieshttp://image.papertrans.cn/c/image/233570.jpg

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Hidden Lines and Hidden Surfaces,rame group the objects are described in terms of sets of lines, and in the solid group the objects would be described in terms of surfaces with well-defined properties. While both groups of objects are quite distinct visually, they do share common problems: the removal of unwanted lines and/or surfaces respectively.

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