Detection of molecular particles in live cells via machine learning

Cytometry Part A

Volumn 71, Issue 8, 2007, Pages 563-575

  Jiang, Shan ^a,b   Zhou, Xiaobo ^b,c   Kirchhausen, Tom ^b   Wong, Stephen T C ^b,c  

^a TSINGHUA UNIVERSITY   (China)

^b HARVARD MEDICAL SCHOOL   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Haar features; Machine learning; Particle detection; Signal to noise ratio

Indexed keywords

CELL MEMBRANE PROTEIN; LIPID;

ACCURACY; ANALYTIC METHOD; ARTICLE; CELL COMPARTMENTALIZATION; CELL STRUCTURE; COATED VESICLE; ENDOSOME; IMAGE ANALYSIS; LIPID TRANSPORT; MACHINE LEARNING; PRIORITY JOURNAL; PROTEIN TRANSPORT; SIGNAL NOISE RATIO;

ADAPTOR PROTEINS, VESICULAR TRANSPORT; ANIMALS; ARTIFICIAL INTELLIGENCE; CELL LINE; CELL SURVIVAL; CLATHRIN; ENDOCYTOSIS; IMAGE CYTOMETRY; MICROSCOPY, FLUORESCENCE; MODELS, BIOLOGICAL;

EID: 34547670472     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.20404     Document Type: Article

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