Development of quantitative evaluation methods for high-resolution Ca2+ imaging data

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Recently, Ca2+ imaging techniques, which have progressed rapidly in recent years, enable us to observe the behavior of intracellular Ca2+ under high resolution. We aim to develop analytical methods for high-resolution Ca2+ imaging data. Research project I: We developed a Bayesian statistical method to estimate intracellular Ca2+ concentration from Ca2+ fluorescence intensities. We used state space modeling method to formulate the observation process of Ca2+ fluorescence intensities. Research project II: We proposed a statistical scheme for the quantitative estimate of Ca2+ wave from spatiotemporal Ca2+ imaging data based on a state space modeling of dendritic Ca2+ diffusion process. Research project III: We developed a cell detection algorithm using non-negative matrix factorization on Ca2+ imaging data. We demonstrated that our method could decompose rapid transient components corresponding to somas and dendrites of many neurons.