Automated classification and recognition of bacterial particles in flow by multi-angle scatter measurement and a support-vector machine classifier
نویسندگان
چکیده
Bartek Rajwa, Murugesan Venkatapathi, Kathy Ragheb, Padmapriya P. Banada, E. Daniel Hirleman, Todd Lary, and J. Paul Robinson Purdue University Cytometry Laboratories, Bindley Bioscience Center, 1203 W. State Street; School of Mechanical Engineering, 585 Purdue Mall; Molecular Food Microbiology Laboratory, Department of Food Science, 745 Agriculture Mall Drive, Purdue University, West Lafayette, IN 47907, USA Cellular Analysis Technology Center, Beckman Coulter, Inc., 11800 S.W. 147th Avenue, Miami, FL 33196, USA
منابع مشابه
Fault diagnosis in a distillation column using a support vector machine based classifier
Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...
متن کاملAutomated classification of bacterial particles in flow by multiangle scatter measurement and support vector machine classifier.
Biological microparticles, including bacteria, scatter light in all directions when illuminated. The complex scatter pattern is dependent on particle size, shape, refraction index, density, and morphology. Commercial flow cytometers allow measurement of scattered light intensity at forward and perpendicular (side) angles (2 degrees <or= theta(1) <or= 20 degrees and 70 degrees <or= theta(2) <or=...
متن کاملFeature Selection Using Multi Objective Genetic Algorithm with Support Vector Machine
Different approaches have been proposed for feature selection to obtain suitable features subset among all features. These methods search feature space for feature subsets which satisfies some criteria or optimizes several objective functions. The objective functions are divided into two main groups: filter and wrapper methods. In filter methods, features subsets are selected due to some measu...
متن کاملDetection and Classification of Breast Cancer in Mammography Images Using Pattern Recognition Methods
Introduction: In this paper, a method is presented to classify the breast cancer masses according to new geometric features. Methods: After obtaining digital breast mammogram images from the digital database for screening mammography (DDSM), image preprocessing was performed. Then, by using image processing methods, an algorithm was developed for automatic extracting of masses from other norma...
متن کاملDetection and Classification of Breast Cancer in Mammography Images Using Pattern Recognition Methods
Introduction: In this paper, a method is presented to classify the breast cancer masses according to new geometric features. Methods: After obtaining digital breast mammogram images from the digital database for screening mammography (DDSM), image preprocessing was performed. Then, by using image processing methods, an algorithm was developed for automatic extracting of masses from other norma...
متن کامل