Signal-to-noise contribution of principal component loads in reconstructed near-infrared Raman tissue spectra

Applied Spectroscopy

Volumn 64, Issue 1, 2010, Pages 8-14

  Grimbergen, M C M ^a   Van Swol, C F P ^b   Kendall, C ^c   Verdaasdonk, R M ^a   Stone, N ^c   Bosch, J L H R ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^b ST ANTONIUS HOSPITAL   (Netherlands)

^c GLOUCESTERSHIRE HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

Bladder; PCA; Principal component analysis; Raman spectroscopy; Signal to noise ratio; SNR

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISCRIMINANT ANALYSIS; ENDOSCOPY; INFRARED DEVICES; MICROCOMPUTERS; QUALITY CONTROL; RAMAN SCATTERING; RAMAN SPECTROSCOPY; SIGNAL TO NOISE RATIO; SPECTROSCOPY; SPECTRUM ANALYSIS; TISSUE;

BLADDER; CLASSIFICATION MODELS; LINEAR DISCRIMINANT ANALYSIS; MEASUREMENT PARAMETERS; MULTIVARIATE ANALYTICAL METHODS; NEAR INFRARED REGION; NUMBER OF PRINCIPAL COMPONENTS; OPTICAL INSTRUMENTATION;

PRINCIPAL COMPONENT ANALYSIS;

AMINOLEVULINIC ACID;

ALGORITHM; BIOPSY; BLADDER; CHEMISTRY; COMPARATIVE STUDY; CYSTITIS; CYSTOSCOPY; DIAGNOSTIC USE; DISCRIMINANT ANALYSIS; FLUORESCENCE; HUMAN; INTRAVESICAL DRUG ADMINISTRATION; LIGHT; NEAR INFRARED SPECTROSCOPY; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES; RAMAN SPECTROMETRY; SENSITIVITY AND SPECIFICITY; STATISTICS AND NUMERICAL DATA; VALIDATION STUDY;

ADMINISTRATION, INTRAVESICAL; ALGORITHMS; AMINOLEVULINIC ACID; BIOPSY; CYSTITIS; CYSTOSCOPY; DISCRIMINANT ANALYSIS; FLUORESCENCE; HUMANS; LIGHT; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY, NEAR-INFRARED; SPECTRUM ANALYSIS, RAMAN; URINARY BLADDER;

EID: 77649214725     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/000370210790572052     Document Type: Article

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