A new framework for particle detection in low-SNR fluorescence live-cell images and its application for improved particle tracking

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 7, 2012, Pages 2040-2050

  Yang, Lei ^a   Qiu, Zhen ^b   Greenaway, Alan H ^b   Lu, Weiping ^b  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

^b HERIOT WATT UNIVERSITY   (United Kingdom)

Author keywords

Fluorescence microscopy; low signal to noise ratio (SNR); particle detection; particle tracking

Indexed keywords

DATA ASSOCIATION; DE-NOISING; DETECTION METHODS; FALSE NEGATIVES; FILTER-BASED; GRAY SCALE; GRAY-SCALE IMAGES; INTERACTING MULTIPLE MODES; LOW SIGNAL-TO-NOISE RATIO; MULTIPLE PARTICLE TRACKING; PARTICLE DETECTION; PARTICLE ENHANCEMENT; PARTICLE MOTIONS; PARTICLE POSITION; PARTICLE TRACKING; PROBABILITY IMAGE; SIGNAL ENHANCEMENT; WATERSHED TRANSFORM;

FLUORESCENCE; FLUORESCENCE MICROSCOPY; IMAGE DENOISING; SIGNAL TO NOISE RATIO;

PARTICLE DETECTORS;

ARTICLE; ENVIRONMENT; FLUORESCENCE; FLUORESCENCE MICROSCOPY; IMAGE QUALITY; IN VITRO STUDY; PARTICLE SIZE; SIGNAL NOISE RATIO;

IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY, FLUORESCENCE; MODELS, BIOLOGICAL; PARTICLE SIZE; SIGNAL-TO-NOISE RATIO;

EID: 84862742516     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2196798     Document Type: Article

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