A fluorometric system utilizing the single photon counting technique which records the decay of the intensity and the anisotropy of fluorescence following pulse excitation is described. Both macroscopic observations on cellular suspensions and measurements on individual cells under an optical microscope are possible. The system is so designed to permit precise evaluation of complex anisotropy decays, which is essential for studies of cells or tissues. Data are processed by a method which properly analyzes these complex decays. A preliminary study on erythrocyte membrane has confirmed the high resolution and precision of the system.
One of the distinguished properties of the discrete wavelets transform is that the major dominant factors can be extracted from the data. We have applied this property to the data compression and reducing the noise data. In the present paper, we have tried to shrink and enlarge the color image data in static as well as dynamic states by means of the vector wavelets transform. Key idea is that the color image data are represented in terms of the 3dimensional vector data by corresponding the red, green and blue orthogonal components of the image to the 3dimensional orthogonal x, y and z components. Several examples demonstrate the usefulness of our new method to work out the graphical communication tools.
To transform a three-dimensional object or to map texture to its surface, it is necessary to introduce a coordinate system. If the surface can be cut and developed, it is easy to identify each point on the surface with the coordinate values. According to a theory in topology, any closed polygonized two-dimensional surface can be represented by a canonical development. However, no efficient algorithm to actually develop a given surface has been presented, and the theory sounds abstract. This paper proposes a method to develop an arbitrary polygonized closed surface and to establish the correspondence between each point on the surface and a point on a regular polygon. Educational software is developed using the algorithm that visualizes the coordinate system by texture mapping or by allowing a user to paint on the surface.
This paper proposes a novel approach to picture description called constructive picture description. In this approach, the points which specify pictures are defined through repetitive geometrical constructions, and the final image is drawn by referring to those points. This approach fulfills the requirements for picture description: easiness, intuitiveness, uniqueness, and less computation. In addition to that, to clarify the feature of our constructive picture description, we discuss the relationship between our proposal and formal elementary plane geometry. We show the usefulness of constructive picture description through three examples: a generalpurpose preprocessor, apparel patternmaking, and Tibetan mandala image generation.
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