Title:	IMAGE DIVISION TECHNIQUE IN AUTOMATED FLUORESCENCE MICROSCOPY WITH COMPLEX CONTENT
Author(s):	Silvie Luisa Brázdilová, Michal Kozubek
ISBN:	978-972-8939-22-9
Editors:	Yingcai Xiao, Tomaz Amon and Piet Kommers
Year:	2010
Edition:	Single
Keywords:	Automated microscopy, fluorescence microscopy, multimodal content function, image acquisition
Type:	Full Paper
First Page:	176
Last Page:	183
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	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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