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» Fast automated cell phenotype image classification
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BMCBI
2011
12 years 11 months 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
BMCBI
2008
106views more  BMCBI 2008»
13 years 5 months ago
A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selec
Background: Cell viability is one of the basic properties indicating the physiological state of the cell, thus, it has long been one of the major considerations in biotechnologica...
Ning Wei, Erwin Flaschel, Karl Friehs, Tim W. Natt...
ISBI
2006
IEEE
14 years 5 months ago
A novel approximate inference approach to automated classification of protein subcellular location patterns in multi-cell images
The subcellular location of proteins is most often determined by visual interpretation of fluorescence microscope images. In recent years, automated systems have been developed so...
Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Mu...
BILDMED
2008
125views Algorithms» more  BILDMED 2008»
13 years 6 months ago
Automated Analysis of siRNA Screens of Virus Infected Cells Based on Immunofluorescence Microscopy
Abstract. We present an image analysis approach as part of a highthroughput microscopy screening system based on cell arrays for the identification of genes involved in Hepatitis C...
Petr Matula, Anil Kumar, Ilka Wörz, Nathalie ...
DAGM
2010
Springer
13 years 6 months ago
Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma
Abstract. We consider an automated processing pipeline for tissue micro array analysis (TMA) of renal cell carcinoma. It consists of several consecutive tasks, which can be mapped ...
Peter J. Schüffler, Thomas J. Fuchs, Cheng So...