Statistical dynamics of flowing red blood cells by morphological image processing

PLoS Computational Biology

Volumn 5, Issue 2, 2009, Pages

  Higgins, John M ^a,b   Eddington, David T ^c,e   Bhatia, Sangeeta N ^b,c,d   Mahadevan, L ^a,b,d  

^a HARVARD UNIVERSITY   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d Department of Electrical Engineering and Computer Science   (United States)

^e University of Illinois at Chicago   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD; CELLS; CYTOLOGY; IMAGE PROCESSING; LEARNING ALGORITHMS; LEARNING SYSTEMS; SUSPENSIONS (FLUIDS);

BLOOD CELLS; BLOOD FLOW; CELL CONCENTRATIONS; COMBINED EFFECT; CONCENTRATION CELLS; DENSE SUSPENSION; MORPHOLOGICAL IMAGE PROCESSING; NON-BROWNIAN; RED BLOOD CELL; STATISTICAL DYNAMICS;

FLOW VELOCITY;

ALGORITHM; ARTICLE; BLOOD CLOTTING; BLOOD FLOW; BLOOD FLOW VELOCITY; ERYTHROCYTE; HYDRODYNAMICS; IMAGE PROCESSING; MACHINE LEARNING; MATHEMATICAL COMPUTING; MICROFLUIDICS; MOLECULAR DYNAMICS; STATISTICAL MODEL; TEMPERATURE; THROMBOSIS; ARTIFICIAL INTELLIGENCE; BLOOD VISCOSITY; CHEMISTRY; CYTOLOGY; ERYTHROCYTE AGGREGATION; ERYTHROCYTE DISORDER; HUMAN; METHODOLOGY; MOTION; PATHOLOGY; PHYSIOLOGY; STATISTICAL ANALYSIS; STATISTICS; SUSPENSION;

ARTIFICIAL INTELLIGENCE; BLOOD FLOW VELOCITY; BLOOD VISCOSITY; DATA INTERPRETATION, STATISTICAL; ERYTHROCYTE AGGREGATION; ERYTHROCYTES; ERYTHROCYTES, ABNORMAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROFLUIDICS; MOTION; SUSPENSIONS;

EID: 61449176161     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000288     Document Type: Article

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