Chemometric strategies to unmix information and increase the spatial description of hyperspectral images: A single-cell case study

Analytical Chemistry

Volumn 85, Issue 13, 2013, Pages 6303-6311

  Piqueras, S ^a,b   Duponchel, L ^c   Offroy, M ^c   Jamme, F ^d,e   Tauler, R ^b   De Juan, A ^a  

^a UNIVERSITY OF BARCELONA   (Spain)

^b INSTITUTE OF ENVIRONMENTAL ASSESSMENT AND WATER RESEARCH   (Spain)

^c UNIVERSITÉ DES SCIENCES ET TECHNOLOGIES DE LILLE   (France)

^d CEMAGREF   (France)

^e SYNCHROTRON SOLEIL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

HYPER-SPECTRAL IMAGES; IMAGE ACQUISITION SYSTEMS; MULTIVARIATE CURVE RESOLUTION; POSTPROCESSING ALGORITHMS; PROCESSING STRATEGIES; RELEVANT INFORMATIONS; SPATIAL DESCRIPTIONS; STRUCTURAL INFORMATION;

DATA PROCESSING; OPTICAL TRANSFER FUNCTION; PIXELS; SPECTROSCOPY;

INFORMATION FILTERING;

ARTICLE; CELL SIZE; HELA CELL; HUMAN; IMAGE PROCESSING; METHODOLOGY; MULTIVARIATE ANALYSIS;

CELL SIZE; HELA CELLS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MULTIVARIATE ANALYSIS;

EID: 84880031588     PISSN: 00032700     EISSN: 15206882     Source Type: Journal    
DOI: 10.1021/ac4005265     Document Type: Article

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