Image Division Technique in Automated Fluorescence Microscopy with Complex Content
| Název česky | Použití metody dělení obrazu v automatické fluorescenční mikroskopii s bohatou obsahovou funkcí |
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| Autoři | |
| 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 | |
| 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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