FIGURE

Fig. 3

ID

ZDB-FIG-160727-9

Publication

Hong et al., 2016 - A Novel Long-term, Multi-Channel and Non-invasive Electrophysiology Platform for Zebrafish

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Fig. 3

Distinguishing epileptic artifacts in iZAP.

(a) Various electrophysiology modalities detectable in iZAP system. The current iZAP system can distinguish seizure-like EEG signals from (b) eye and (c) tail (i.e., electrooculography and electromyography). The corresponding videographs were taken as 30 frames per second.

Expression Data

Expression Detail

Antibody Labeling

Phenotype Data

Phenotype Detail

Acknowledgments

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