Image Division Technique in Automated Fluorescence Microscopy with Complex Content

Varování

Publikace nespadá pod Pedagogickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
Název česky Použití metody dělení obrazu v automatické fluorescenční mikroskopii s bohatou obsahovou funkcí
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BRÁZDILOVÁ Silvie Luisa KOZUBEK Michal

Rok publikování 2010
Druh Článek ve sborníku
Konference PROCEEDINGS OF THE IADIS INTERNATIONAL CONFERENCE COMPUTER GRAPHICS, VISUALIZATION, COMPUTER VISION AND IMAGE PROCESSING 2010
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Obor Informatika
Klíčová slova Automated microscopy; fluorescence microscopy; multimodal content function; image acquisition
Popis 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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