Signal analysis and classification for surface plasmon assisted microscopy of nanoobjects

Sensors and Actuators, B: Chemical

Volumn 151, Issue 1, 2010, Pages 281-290

  Weichert, F ^a   Gaspar, M ^a   Timm, C ^a   Zybin, A ^b   Gurevich, E L ^b   Engel, M ^a   Muller H ^a   Marwedel, P ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

^b LEIBNIZ INSTITUT FÜR ANALYTISCHE WISSENSCHAFTEN ISAS E V   (Germany)

Author keywords

Biosensor; Image processing embedded system; Nanoobjects; PAMONO technique; Signal analysis; SPR microscopy

Indexed keywords

ANALYSIS APPROACH; CONFIGURABLE; EFFICIENT METHOD; EMBEDDED IMAGES; IMAGE ANALYSIS ALGORITHMS; IMAGE SERIES; NANO-OBJECTS; NOVEL TECHNIQUES; PAMONO TECHNIQUE; SENSOR SURFACES; SITE SCREENING; SPR-MICROSCOPY; SURFACE PLASMONS; VIRUS DETECTION; VIRUS INFECTION;

BIOSENSORS; COMPUTER VIRUSES; CONCURRENT ENGINEERING; EMBEDDED SYSTEMS; IMAGE ANALYSIS; IMAGING SYSTEMS; JOB ANALYSIS; OPTICAL DATA STORAGE; PIXELS; PLASMONS; RAPID PROTOTYPING; SIGNAL ANALYSIS; SIGNAL DETECTION; VIRUSES;

PIPELINE PROCESSING SYSTEMS;

EID: 78049438650     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2010.08.005     Document Type: Article

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