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Volumn 33, Issue 1, 2012, Pages 196-203
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A computational modeling and analysis in cell biological dynamics using electric cell-substrate impedance sensing (ECIS)
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Author keywords
Cell growth; Cell micromotion; Electric cell substrate impedance sensing (ECIS); Multi scale analysis; Real time cell monitoring
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Indexed keywords
BIOLOGICAL DYNAMICS;
CELL DYNAMICS;
CELL MONITORING;
CELL SUBSTRATES;
CELL-BIOLOGICAL SYSTEMS;
CELLULAR BEHAVIORS;
CELLULAR GROWTH;
COMPLEX MECHANISMS;
COMPUTATIONAL CELL;
COMPUTATIONAL MODELING;
EXPERIMENTAL METHODS;
FREQUENCY RESOLUTIONS;
IMPEDANCE SENSING;
MICROMOTION;
MULTI SCALE ANALYSIS;
REAL-TIME CELL MONITORING;
TIME INTERVAL;
TIME-SERIES DATA;
WAVELET METHODS;
ADHESION;
BIOLOGICAL SYSTEMS;
CELL GROWTH;
CELLS;
DYNAMICS;
GROWTH KINETICS;
MATHEMATICAL MODELS;
MONITORING;
STATISTICS;
TIME SERIES ANALYSIS;
CYTOLOGY;
ARTICLE;
CELL ADHESION;
CELL COUNT;
CELL FUNCTION;
CELL GROWTH;
CELL MICROMOTION;
CELL MOTION;
CELL PROLIFERATION;
CELL SPREADING;
CONTROLLED STUDY;
ELECTRIC CELL SUBSTRATE IMPEDANCE SENSING;
HEMATOCYTOMETER;
HUMAN;
HUMAN CELL;
IMPEDANCE;
MATHEMATICAL MODEL;
MEASUREMENT;
ONLINE MONITORING;
QUANTITATIVE ANALYSIS;
TIME SERIES ANALYSIS;
WAVEFORM;
WAVELET ANALYSIS;
3T3 CELLS;
ANIMALS;
BIOSENSING TECHNIQUES;
CELL MOVEMENT;
CELL PROLIFERATION;
COMPUTER SIMULATION;
ELECTRIC IMPEDANCE;
MICE;
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EID: 84862797188
PISSN: 09565663
EISSN: 18734235
Source Type: Journal
DOI: 10.1016/j.bios.2011.12.052 Document Type: Article |
Times cited : (22)
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References (21)
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