Image Division Technique in Automated Fluorescence Microscopy with Complex Content

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Authors

BRÁZDILOVÁ Silvie Luisa KOZUBEK Michal

Year of publication 2010
Type Article in Proceedings
Conference PROCEEDINGS OF THE IADIS INTERNATIONAL CONFERENCE COMPUTER GRAPHICS, VISUALIZATION, COMPUTER VISION AND IMAGE PROCESSING 2010
MU Faculty or unit

Faculty of Informatics

Citation
Field Informatics
Keywords Automated microscopy; fluorescence microscopy; multimodal content function; image acquisition
Description This paper presents a method that allows for reliable automated acquisition of images in fluorescence microscopy. Specifically, if an image contains more objects that do not lie precisely in one z-plane, traditional methods necessarily fail due to their principle of operation. We take a different approach by reducing the original problem to a set of tasks which can already be easily solved. Namely, we divide the original image into a few subparts and process each of them individually. The results obtained in such a way enable discovering hidden z-planes with rich information content. Our approach therefore outperforms other acquisition methods including manual one. A large part of the paper is devoted to practical examples and suggestions.
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