Computational Processing and Detection of Mouse RGC from Ca Imaging Data
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DOI: 10.23977/iset2021.014
Corresponding Author
Shangjing Liu
ABSTRACT
Mouse RGC experiment is a typical experiment. Electrophysiological method has always been a common method in neuroscience, and also used in this experiment. In recent years, calcium imaging of fluorescence indicators has also been widely used. In this article, we use a computational method to preprocess the mouse RGC experimental images of fluorescence, and identify the cell edge. Finally, we use fast Fourier transform on the typical cell response waveform.
KEYWORDS
RGC, Ca Imaging Data, Denoising