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Analyzing spontaneous or evoked astrocytic Ca activity is different from that of neuronal activity. In astrocytes, there are no fixed spatial sources of signals, as Ca transients can originate in many places and tend to spread in different directions. We present some open-source solutions for motion correction, estimation of dynamic baseline fluorescence level and detection of Ca2+ events. In many steps we rely on dimensionality reduction techniques to extract meaningful dynamics. We also follow patch-oriented localized analysis with selective grouping of time signals to keep details of the dynamics. We further discuss approaches to interpret the observed spatiotemporal patterns of Ca2+ events by converting the dynamics into symbolic form or fitting simplified data-driven models for modal description of the spatiotemporal patterns.