Hisayori Noda

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Optical methods for viewing neuronal populations and projections in the intact mammalian brain are needed, but light scattering prevents imaging deep into brain structures. We imaged fixed brain tissue using Scale, an aqueous reagent that renders biological samples optically transparent but completely(More)
We have developed a multi-target cell tracking program TADOR, which we applied to a series of fluorescence images. TADOR is based on an active contour model that is modified in order to be free of the problem of locally optimal solutions, and thus is resistant to signal fluctuation and morphological changes. Due to adoption of backward tracing and addition(More)
In this paper, we propose a new method for active net model. The active net is a lattice network model that is based on minimizing energy to extract the region of a target object. In a conventional method, only one target is detected by one net. Therefore, assuming that the image can be divided into some parts, the proposed method uses many nets and applies(More)
Relationship between consecutive frame in the generalized harmonics analysis and possibility of predictive coding is described. In the GHA, each frame of a signal is shown as sum of sinusoids. The parameters which show the same sinusoid are often extracted from two consecutive frames. We propose a method to extract the parameters which show the same(More)
A fast and accurate method for Generalized Harmonic Analysis (GHA) is proposed. The proposed method estimates the parameters of a sinusoid and subtracts it from a target signal one by one. The frequency of the sinusoid is estimated around a peak of Fourier spectrum using Newton’s method, which is much faster than search methods. The amplitude and the phase(More)
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