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Although neuronal density analysis on human brain slices is available from stereological studies, data on the spatial distribution of neurons in 3D are still missing. Since the neuronal organization is very inhomogeneous in the cerebral cortex, it is critical to map all neurons in a given volume rather than relying on sparse sampling methods. To achieve this goal, we implement a new tissue transformation protocol to clear and label human brain tissues and we exploit the high-resolution optical sectioning of two-photon fluorescence microscopy to perform 3D mesoscopic reconstruction. We perform neuronal mapping of 100mm3 human brain samples and evaluate the volume and density distribution of neurons from various areas of the cortex originating from different subjects (young, adult, and elderly, both healthy and pathological). The quantitative evaluation of the density in combination with the mean volume of the thousands of neurons identified within the specimens, allow us to determine the layer-specific organization of the cerebral architecture.

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A method has been presented for the allocation of responsibilities between a utility and a consumer with reference to the distortion of 3-phase voltage waveforms at the point of common coupling. The input data required for applying this method are the measured voltage and current waveforms at the point of common coupling. The frequencies in the measured waveforms are estimated and a Kalman filter is used to estimate the phasors at these frequencies. Subsequently, the parameters of the electrical system of the industrial load have been estimated using the recursive least-squares technique. With these estimated data, the individual contributions to the distortion of the 3-phase voltage waveforms have been calculated. The proposed method has been illustrated by means ofa practical example.