Image Division Technique in Automated Fluorescence Microscopy with Complex Content
| Authors | |
|---|---|
| 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 | |
| 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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