Automated and adaptable quantification of cellular alignment from microscopic images for tissue engineering applications

Tissue Engineering - Part C: Methods

Volumn 17, Issue 6, 2011, Pages 641-649

  Xu, Feng ^a   Beyazoglu, Turker ^a   Hefner, Evan ^a   Gurkan, Umut Atakan ^a   Demirci, Utkan ^a,b,c  

^a AA Martinos Center for Biomedical Imaging   (United States)

^b HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

^c 65 Landsdowne Street ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BANDPASS FILTERS; FAST FOURIER TRANSFORMS; IMAGE SEGMENTATION; TISSUE; TISSUE ENGINEERING;

ADAPTIVE THRESHOLDING; AUTOMATED METHODS; BAND PASS; BIOLOGICAL CHARACTERISTIC; CELL ORIENTATION; CELLULAR MICROENVIRONMENT; COEFFICIENT OF DETERMINATION; ENGINEERED TISSUES; FOURIER; GRADIENT BASED; IMAGE PROCESSING TECHNIQUE; MANUAL METHODS; MICROENVIRONMENTS; MICROSCOPIC IMAGE; ORIENTATION DISTRIBUTIONS; SCORING ALGORITHMS; TISSUE ENGINEERING APPLICATIONS; TISSUE TYPES; VALIDATION RESULTS;

ALIGNMENT;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; CELL CULTURE; CELL POLARITY; CELL TRACKING; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; HUMAN; METHODOLOGY; MICROSCOPY; TISSUE ENGINEERING;

ALGORITHMS; ANIMALS; CELL POLARITY; CELL TRACKING; CELLS, CULTURED; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY; PATTERN RECOGNITION, AUTOMATED; TISSUE ENGINEERING;

EID: 79955743716     PISSN: 19373384     EISSN: 19373392     Source Type: Journal    
DOI: 10.1089/ten.tec.2011.0038     Document Type: Article

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