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Meglinski, I.

Publications and source records attributed to Meglinski, I..

2 recordsLinked to original sources

Beyond Life: Exploring Hemodynamic Patterns in Postmortem Mice Brains

We use Laser Speckle Contrast Imaging (LSCI) for transcranial visualization of cerebral blood flow microcirculation in mice during and after cardiac arrest. Analyzing time series of LSCI images, we observed temporal variations in blood flow distribution across the brain surface for up to several hours postmortem. Utilizing Fast Fourier Transform (FFT) analysis, we depicted the decay in blood flow oscillations and microcirculation following death. Due to the exponential drop in blood flow intensity and ensuing non-stationary conditions, Continuous Wavelet Transform (CWT) was applied to identify potential spatial or temporal synchronization patterns in cerebral hemodynamics. Additionally, we conducted Non-negative Matrix Factorization (NMF) analysis with four components to segment LSCI images, revealing temporal alterations in structural subcomponents. This integrated approach, combining LSCI, FFT, CWT and NMF, provides a comprehensive tool for understanding cerebral blood flow dynamics in mice, metaphorically capturing the end of the tunnel experience. Results indicated a primary localization of hemodynamic activity in the olfactory bulbs postmortem, followed by minor successive relocations of blood microflows between the somatosensory and visual cortical regions via the superior sagittal sinus. The proposed approach opens avenues for further exploration into these phenomena, potentially bridging the gap between neuroscientific understanding and the longstanding mysteries surrounding consciousness and perception at the end of life.

bioengineering↗

Time-Space Fourier κFormula Filter for Motion Artifacts Compensation during Transcranial Fluorescence Brain Imaging

Intravital imaging of brain vasculature through the intact cranium in vivo is based on the evolution of the fluorescence intensity and provides an ability to characterize various physiological processes in the natural context of cellular resolution. The involuntary motions of the examined subjects often limit in vivo non-invasive functional optical imaging. Conventional imaging diagnostic modalities encounter serious difficulties in correction of artificial motions, associated with the rapid structural variations and fast high dynamics of the intensity values in the collected image sequences, when a common reference cannot be provided. In current report, we introduce an alternative solution that utilizes a Fourier Kappa-Omega filtering approach. We demonstrate that the proposed approach is effective for image stabilization of fast dynamic image sequences. The validation of the Fourier Kappa-Omega filtering was performed on the images obtaining during mouse transcranial brain imaging using fluorescent microscope as well as on the simulated sequences of images. The proposed technique can be used autonomously without supervision and assignation of a reference image.

bioengineering↗