Cell death discrimination with raman spectroscopy and support vector machines

Annals of Biomedical Engineering

Volumn 37, Issue 7, 2009, Pages 1464-1473

  Pyrgiotakis, Georgios ^a   Kundakcioglu, O Erhun ^b   Finton, Kathryn ^a,c   Pardalos, Panos M ^b   Powers, Kevin ^a   Moudgil, Brij M ^a,b  

^a UNIVERSITY OF FLORIDA   (United States)

^b University of Florida   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Cancer treatment; Death cell discrimination; Raman spectroscopy; Support vector machines; Toxic chemicals

Indexed keywords

APOPTOTIC; CANCER TREATMENT; CHEMICAL SUBSTANCE; CLASSIFICATION RULES; DEATH CELL DISCRIMINATION; ETOPOSIDE; HEAT EFFECT; IDEAL SOLUTIONS; MACHINE LEARNING TECHNIQUES; NATURAL ENVIRONMENTS; POTENTIAL EFFECTS; SVM CLASSIFIERS; TOXIC CHEMICALS; TRITON X-100;

CELL DEATH; CELL MEMBRANES; IMAGE RETRIEVAL; LAW ENFORCEMENT; LEARNING ALGORITHMS; RAMAN SCATTERING; RAMAN SPECTROSCOPY; TOXIC MATERIALS; VECTORS;

SUPPORT VECTOR MACHINES;

ALGORITHM; APOPTOSIS; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CELL CULTURE; CYTOLOGY; EPITHELIUM CELL; HUMAN; METHODOLOGY; PHYSIOLOGY; RAMAN SPECTROMETRY;

ALGORITHMS; APOPTOSIS; ARTIFICIAL INTELLIGENCE; CELLS, CULTURED; EPITHELIAL CELLS; HUMANS; PATTERN RECOGNITION, AUTOMATED; SPECTRUM ANALYSIS, RAMAN;

EID: 67650447967     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-009-9688-z     Document Type: Article

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