A rapid and efficient 2D/3D nuclear segmentation method for analysis of early mouse embryo and stem cell image data

Stem Cell Reports

Volumn 2, Issue 3, 2014, Pages 382-397

  Lou, Xinghua ^a,c   Kang, Minjung ^a,b   Xenopoulos, Panagiotis ^a   Muñoz Descalzo, Silvia ^a,d   Hadjantonakis, Anna Katerina ^a  

^a MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^b Weill Cornell Medical Center   (United States)

^c Microsoft Silicon Valley Campus ^*  (United States)

^d University of Bath   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL CELL; ARTICLE; BLASTOCYST; CELL COUNTING; COMPUTER INTERFACE; COMPUTER PROGRAM; CONTROLLED STUDY; EMBRYO; EMBRYO SEGMENTATION; EMBRYONIC STEM CELL; IMAGE ANALYSIS; KERNEL METHOD; MEASUREMENT ACCURACY; MODULAR INTERACTIVE NUCLEAR SEGMENTATION; MOUSE; MOUSE EMBRYO; NONHUMAN; PRIORITY JOURNAL; SINGLE CELL ANALYSIS; ALGORITHM; ANIMAL; ANIMAL EMBRYO; CYTOLOGY; IMAGE PROCESSING; METABOLISM; MICROSCOPY; PROCEDURES; THREE DIMENSIONAL IMAGING; ACCURACY; CELL LINEAGE; CELL NUCLEUS; CLASSIFICATION; FLUORESCENCE; IMAGE QUALITY; IMMUNOFLUORESCENCE; IMMUNOHISTOCHEMISTRY; QUANTITATIVE ANALYSIS; STEM CELL;

ALGORITHMS; ANIMALS; EMBRYO, MAMMALIAN; EMBRYONIC STEM CELLS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MICE; MICROSCOPY; SOFTWARE;

EID: 84896073709     PISSN: 22136711     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.stemcr.2014.01.010     Document Type: Article

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