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    Proper measurement of pure dielectrophoresis force acting on a RBC using optical tweezers

    , Article Biomedical Optics Express ; Volume 10, Issue 11 , 2019 , Pages 5639-5649 ; 21567085 (ISSN) Sasanpour, M ; Azadbakht, A ; Mollaei, P ; S. Reihani, N. S ; Sharif University of Technology
    OSA - The Optical Society  2019
    Abstract
    The force experienced by a neutral dielectric object in the presence of a spatially non-uniform electric field is referred to as dielectrophoresis (DEP). The proper quantification of DEP force in the single-cell level could be of great importance for the design of high-efficiency micro-fluidic systems for the separation of biological cells. In this report we show how optical tweezers can be properly utilized for proper quantification of DEP force experienced by a human RBC. By tuning the temporal frequency of the applied electric field and also performing control experiments and comparing our experimental results with that of theoretically calculated, we show that the measured force is a... 

    Spatial-temporal assessment and redesign of groundwater quality monitoring network: A case study

    , Article Environmental Monitoring and Assessment ; Volume 172, Issue 1-4 , January , 2011 , Pages 263-273 ; 01676369 (ISSN) Owlia, R. R ; Abrishamchi, A ; Tajrishy, M ; Sharif University of Technology
    2011
    Abstract
    Assessment of groundwater quality monitoring networks requires methods to determine the potential efficiency and cost-effectiveness of the current monitoring programs. To this end, the concept of entropy has been considered as a promising method in previous studies since it quantitatively measures the information produced by a network. In this study, the measure of transinformation in the discrete entropy theory and the transinformation- distance (T-D) curves, which are used frequently by other researchers, are used to quantify the efficiency of a monitoring network. This paper introduces a new approach to decrease dispersion in results by performing cluster analysis that uses fuzzy...