Software for Extraction of Cell Properties from Dielectrophoretic Data using Well Electrode

Dielectrophoresis (dep) method offers a lot of advantages such as cell characterization and separation on mixtures of cells in modern laboratories. by knowing the cells characteristic, separation of any interested cells from blood or other biological fluids could be performed for medical diagnostic research. additionally, the effect of drugs to cell could be investigated further. in this study, a user friendly software has been developed using gui matlab to extract the properties of cell from dielectrophoretic data. the data contains changes of light intensity of the moving cells under the influenced of dep force in the dep well electrode. the intensity is measured from a series of images captured by a microscope. by fitting the model curve to the dielectrophoretic data with two friendly functions namely auto plot and auto fit, user is able to extract the cell properties faster. in this study, the results of live and dead yeast cell properties were successfully determined based on a total of six dielectrophoretic data.