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ISBI
2006
IEEE
14 years 6 months ago
Bayesian tracking for fluorescence microscopic imaging
Fluorescence microscopy is a powerful imaging tool for studying molecular dynamics in living cells. For quantitative motion analysis of subcellular structures robust and accurate ...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
ICIAR
2004
Springer
13 years 11 months ago
Automatic Image Segmentation Using a Deformable Model Based on Charged Particles
Abstract. We present a method for automatic segmentation of grey-scale images, based on a recently introduced deformable model, the charged-particle model (CPM). The model is inspi...
Andrei Jalba, Michael H. F. Wilkinson, Jos B. T. M...
ICPR
2006
IEEE
14 years 7 months ago
Classification of Segmented Regions in Brightfield Microscope Images
The subcellular localisation of proteins in living cells is an important step to determine their function. A common method is the evaluation of fluorescence images. The position o...
Marko Tscherepanow, Frank Zöllner, Franz Kumm...
ICIP
2001
IEEE
14 years 7 months ago
(Semi-)automatic recognition of microorganisms in water
The structure of biocenosis is a powerful indicator for the condition of and changes in quality of the ecosystem. Identification and quantification of populations of microorganism...
Burkhard A. Hense, Karsten Rodenacker, Peter Gais,...
BMCBI
2011
13 years 15 days ago
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Bailing Zhang, Tuan D. Pham