Probabilistic estimation of mechanical properties of biomaterials using atomic force microscopy

IEEE Transactions on Biomedical Engineering

Volumn 61, Issue 2, 2014, Pages 547-556

  Roy, Rajarshi ^a   Chen, Wenjin ^b   Cong, Lei ^b   Goodell, Lauri A ^b   Foran, David J ^b   Desai, Jaydev P ^a  

^a UNIVERSITY OF MARYLAND   (United States)

^b ROBERT WOOD JOHNSON MEDICAL SCHOOL   (United States)

Author keywords

Atomic force microscopy (AFM); Bayesian changepoint; error in variables (EIV); mechanical characterization; tissue microarray (TMA) technology

Indexed keywords

BIOLOGICAL SPECIMENS; CHANGE-POINTS; EFFECTIVE MATERIALS; ERROR-IN-VARIABLES (EIV); HUMAN BREAST TISSUE; MECHANICAL CHARACTERIZATIONS; PROBABILISTIC ESTIMATION; TISSUE MICROARRAYS;

ATOMIC FORCE MICROSCOPY; BIOMECHANICS; MECHANICAL PROPERTIES; SPRINGS (COMPONENTS); TISSUE; UNCERTAINTY ANALYSIS;

PROBES;

BIOMATERIAL;

ALGORITHM; ARTICLE; ATOMIC FORCE MICROSCOPY; BAYES THEOREM; BREAST; CALIBRATION; COMPLIANCE (PHYSICAL); ELASTICITY; FORCE; HUMAN; SENSITIVITY ANALYSIS; TISSUE MICROARRAY; YOUNG MODULUS;

BREAST; BREAST NEOPLASMS; FEMALE; HUMANS; MICROSCOPY, ATOMIC FORCE; MODELS, STATISTICAL; NANOTECHNOLOGY; TISSUE ARRAY ANALYSIS;

EID: 84893268362     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2283597     Document Type: Article

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