Automated Nerve Fibres Identification and Morphometry Analysis with Neural Network Based Tool in MATLAB.

Analyses of nerve histology are core assays in basic and applied research and even in clinical setting. Detailed report on nerve morphology may unbiased indicate the current state of a peripheral nerve. Manual method requires trained technician and is a time-consuming procedure. Available plug-ins to well known image processors are limited in use and data outcomes. Thus, the aim of the study was to create a tool for fast and repeatable analysis of a nerve section image. As a results we get very high precision of analysis in shorter time.

Automated Nerve Fibres Identification and Morphometry Analysis with Neural Network Based Tool in MATLAB.

Analyses of nerve histology are core assays in basic and applied research and even in clinical setting. Detailed report on nerve morphology may unbiasedly indicate the current state of a peripheral nerve. Manual method requires trained technician and is a time-consuming procedure. Available plugins to well known image processors are limited in use and data outcomes. Thus, the aim of the study was to create a. tool for for fast and repeatable analysis of a nerve section image. As a results we get very high precision of analysis in shorter time.

Estimation of Supercapacitor Energy Storage Based on Fractional Differential Equations.

In this paper, new results on using only voltage measurements on supercapacitor terminals for estimation of accumulated energy are presented. For this purpose, a study based on application of fractional-order models of supercapacitor charging/discharging circuits is undertaken. Parameter estimates of the models are then used to assess the amount of the energy accumulated in supercapacitor. The obtained results are compared with energy determined experimentally by measuring voltage and current on supercapacitor terminals. All the tests are repeated for various input signal shapes and parameters. Very high consistency between estimated and experimental results fully confirm suitability of the proposed approach and thus applicability of the fractional calculus to modelling of supercapacitor energy storage.