Image-derived, three-dimensional generative models of cellular organization

Cytometry Part A

Volumn 79 A, Issue 5, 2011, Pages 383-391

  Peng, Tao ^a,b   Murphy, Robert F ^a,b,c,d  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Carnegie Mellon University   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

^d UNIVERSITY OF FREIBURG   (Germany)

Author keywords

Cell shape; Generative models; Location proteomics; Machine learning; Microscope image analysis; Nuclear shape; Subcellular location

Indexed keywords

PROTEIN;

ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CELL STRUCTURE; HELA CELL; HUMAN; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

CELLULAR STRUCTURES; HELA CELLS; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; PROTEINS;

EID: 79955149044     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.21066     Document Type: Article

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