Microrheometer and viscoelastic properties of cells

The characterization of the mechanical properties of the cell is of great importance for estimating its biological state and physiology. Among the different measurement techniques, through the microrheometer it is possible to characterize the viscoelastic properties. In this report we consider a measurement experiment of a paramagnetic bead microrheometer and Read more…

Impedance cytometer and circuit equivalent

The equivalent circuit model for a parallel electrode impedance cytometer is analyzed together with Maxwell’s theory of homogenization of mixtures. It deals with both single shell and double shell cell modeling. The results show that even small errors in parameter estimation lead to variations in model predictions. Furthermore, the possibility Read more…

Diffusion and FEA for drug-eluting spheres

Mathematical modeling of diffusion mechanisms for drug delivery can be very useful for accelerating product development and for better understanding the mechanisms that control drug delivery from advanced delivery systems. The integration of Comsol’s numerical environment with programming in Matlab allows the development of customized and easily integrated solution models. Read more…

Curve fitting and compensation for impedance cytometry signals

In impedance cytometry, various design and post processing techniques have been developed to improve measurement accuracy. One of the parameters that most afflicts cytometry measurements is the dependence of the signal on the position of the cell within the channel so that identical cells, passing in different positions, give rise Read more…

Parametric identification for respiratory mechanics

A linear model of lung mechanics is analyzed in the following report. The model corresponds to an RLC circuit with unknown parameters. Parametric identification allows to trace the system governance coefficients once a mathematical model has been estimated. Different approaches allow to minimize the difference between the estimated parameters and Read more…

Deep learning and segmentation in cell biology

In the digital era, even in medicine, numerous images are produced every day and, despite their classification, the segmentation and recognition of objects are less detailed. With the recent development of artificial intelligence and convolutional neural network algorithms it is possible to achieve excellent results. This article analyzes the neural Read more…