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 fast high dynamics of the intensity values in the collected image sequences, when a common
reference cannot be provided. In the current report, we introduce an alternative solution based on a
time-space Fourier transform method so-called K-Omega. We demonstrate that the proposed approach is
effective for image stabilization of fast dynamic image sequences and can be used autonomously
without supervision and assignation of a reference image.
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