Blind image analysis for the compositional and structural characterization of plant cell walls

Analytica Chimica Acta

Volumn 702, Issue 2, 2011, Pages 172-177

  Perera, Pradeep N ^a   Schmidt, Martin ^a   Schuck, P James ^b   Adams, Paul D ^b,c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^c University of California at Berkeley   (United States)

Author keywords

Biomass; Curve resolution; Entropy minimization; Hyperspectral Raman imaging; Image analysis; Lignin

Indexed keywords

CELL WALLS; COMPOSITION ANALYSIS; CURVE RESOLUTION; ENTROPY MINIMIZATION; HYPERSPECTRAL; K-MEANS CLUSTERING; LIGNO-CELLULOSICS; MECHANICAL EXTRACTION; MONOLIGNOL COMPOSITION; PLANT CELL WALL; PURE COMPONENTS; RAMAN MAPS; RAMAN MICROSPECTROSCOPY; REMOVE NOISE; SIMULATED ANNEALING OPTIMIZATION; SPATIAL CLUSTERING; SPATIAL SEGREGATION; SPECTRAL ENTROPY; SPECTRAL ESTIMATE; SPECTRAL OVERLAP; SPECTRAL PREPROCESSING; SPECTRAL PROFILE; STRUCTURAL CHARACTERISTICS; STRUCTURAL CHARACTERIZATION; SUB-CELLULAR; SUB-LAYERS; UNSUPERVISED DATA;

CARBOHYDRATES; CELLS; CELLULOSE; CLUSTER ANALYSIS; ENTROPY; IMAGE ANALYSIS; LIGNIN; PLANT CELL CULTURE; PRINCIPAL COMPONENT ANALYSIS; SIMULATED ANNEALING; SPECTROSCOPY;

WALLS (STRUCTURAL PARTITIONS);

CARBOHYDRATE; CELLULOSE; HEMICELLULOSE; LIGNIN; LIGNOCELLULOSE; MONOMER;

ARTICLE; ASPEN; CARBOHYDRATE ANALYSIS; CELL WALL; CHEMICAL COMPOSITION; CHEMOMETRIC ANALYSIS; CLUSTER ANALYSIS; CONTROLLED STUDY; DATA MINING; ENTROPY; EXTRACTION; FLUORESCENCE; IMAGE ANALYSIS; MICROANALYSIS; NOISE REDUCTION; NONHUMAN; PLANT CELL; POPULUS TRICHOCARPA; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RAMAN MICROSPECTROSCOPY; RAMAN SPECTROMETRY; XYLEM CELL;

BIOMASS; CELL WALL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIGNIN; PLANTS; POLYSACCHARIDES; SPECTRUM ANALYSIS, RAMAN;

EID: 80051475193     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2011.06.021     Document Type: Article

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