Three-dimensional visualization methods for confocal microscopy.

Three-dimensional images of microscopic objects can be obtained by confocal scanning laser microscopy (CSLM). The imaging process in a CSLM consists of sampling a specific volume in the object and storing the result in a three-dimensional memory array of a digital computer. Methods are needed to visualize these images. In this paper three methods are discussed, each suitable in a specific area of application. For purposes where realistic rendering of solid or semi-transparent objects is required, an algorithm based on simulation of a fluorescence process is most suitable. When speed is essential, as for interactive purposes, a simple procedure to generate anaglyphs can be used. Both methods have in common that they require no previous interpretation or analysis of the image. When the study of an object imaged by CSLM involves analysis in terms of a geometrical model, sophisticated graphics techniques can be used to display the results of the analysis.

Visualization and analysis techniques for three dimensional information acquired by confocal microscopy.

Confocal Scanning Laser Microscopy (CSLM) is particularly well suited for the acquisition of 3-dimensional data of microscopic objects. In the CSLM a specific volume in the object is sampled during the imaging process and the result is stored in a digital computer as a three-dimensional memory array. Optimal use of these data requires both the development of effective visual representations as well as analysis methods. In addition to the well known stereoscopic representation method a number of alternatives for various purposes are presented. When rendering in terms of solid-looking or semitransparent objects is required, an algorithm based on a simulated process of excitation and fluorescence is very suitable. Graphic techniques can be used to examine the 3-dimensional shape of surfaces. For (near-)real time applications a representation method should not require extensive previous data-processing or analysis. From the very extensive field of 3-D image analysis two examples are given.