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Title: Extraction and analysis of neuron firing signals from deep cortical video microscopy

We introduce a method for extracting and analyzing neuronal activity time signals from video of the cortex of a live animal. The signals correspond to the firing activity of individual cortical neurons. Activity signals are based on the changing fluorescence of calcium indicators in the cells over time. We propose a cell segmentation method that relies on a user-specified center point, from which the signal extraction method proceeds. A stabilization approach is used to reduce tissue motion in the video. The extracted signal is then processed to flatten the baseline and detect action potentials. We show results from applying the method to a cortical video of a live mouse.
 [1] ;  [2]
  1. ORNL
  2. St. Jude Children's Research Hospital
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Conference: 2014 Annual ORNL Biomedical Science and Engineering Center Conference, Oak Ridge, TN, USA, 20140506, 20140508
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
Work for Others (WFO)
Country of Publication:
United States