@inproceedings{46177b334a554187b383f6b4ccb590a3,
title = "Extraction and analysis of neuron firing signals from deep cortical video microscopy",
abstract = "We introduce a method for extracting and analyzing neuronal activity time signals from video o. The cortex of a live animal. The signals correspond t. The firing activity of individual cortical neurons. Activity signals are based o. The changing fluorescence of calcium indicators i. The cells over time. We propose a cell segmentation method that relies on a user-specified center point, from whic. The signal extraction method proceeds. A stabilization approach is used to reduce tissue motion i. The video. The extracted signal i. Then processed to flatte. The baseline and detect action potentials. We show results from applyin. The method to a cortical video of a live mouse.",
keywords = "calcium fluorescence, neuron activity, signal extraction, signal processing",
author = "Ryan Kerekes and Jay Blundon",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 5th Annual ORNL Biomedical Sciences and Engineering Conference: Collaborative Biomedical Innovations, BSEC 2014 ; Conference date: 06-05-2014 Through 08-05-2014",
year = "2014",
month = jul,
day = "29",
doi = "10.1109/BSEC.2014.6867747",
language = "English",
series = "Proceedings of the 2014 Biomedical Sciences and Engineering Conference - 5th Annual ORNL Biomedical Sciences and Engineering Conference: Collaborative Biomedical Innovations - The Multi-Scale Brain: Spanning Molecular, Cellular, Systems, Cognitive, Behavioral, and Clinical Neuroscience, BSEC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 2014 Biomedical Sciences and Engineering Conference - 5th Annual ORNL Biomedical Sciences and Engineering Conference",
}