Recognition of Unstained Live Drosophila Cells in Microscope Images

In order to localise tagged proteins in living cells, the surrounding cells must be recognised first. Based on previous work regarding cell recognition in bright-field images, we propose an approach to the automated recognition of unstained live Drosophila cells, which are of high biological relevan...

Full description

Saved in:
Bibliographic Details
Published inInternational Machine Vision and Image Processing Conference (IMVIP 2007) pp. 169 - 176
Main Authors Tscherepanow, M., Jensen, N., Kummert, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2007
Subjects
Cells (biology)
Fluorescence
Genetics
Image recognition
Image segmentation
Microscopy
Optical attenuators
Optical refraction
Organisms
Proteins
Online AccessGet full text

Cover

More Information
Summary:In order to localise tagged proteins in living cells, the surrounding cells must be recognised first. Based on previous work regarding cell recognition in bright-field images, we propose an approach to the automated recognition of unstained live Drosophila cells, which are of high biological relevance. In order to achieve this goal, the original methods were extended to enable the additional application of an alternative microscopy technique, since the exclusive usage of bright-field images does not allow for an accurate segmentation of the considered cells. In order to cope with the increased number of parameters to be set, a genetic algorithm is applied. Furthermore, the employed segmentation and classification techniques needed to be adapted to the new cell characteristics. Therefore, a modified active contour approach and an enhanced feature set, allowing for a more detailed description of the obtained segments, are introduced.
ISBN:0769528872
9780769528878
DOI:10.1109/IMVIP.2007.16