New Results
MEA Viewer: a High-performance Interactive Application for Visualizing Electrophysiological Data
Daniel C. Bridges, Kenneth R. Tovar, Bian Wu, Paul K. Hansma, Kenneth S. Kosik
doi: https://doi.org/10.1101/146381
Daniel C. Bridges
1Neuroscience Research Institute, University of California at Santa Barbara, Santa Barbara, California, USA
2Department of Physics, University of California at Santa Barbara, Santa Barbara, California, USA
Kenneth R. Tovar
1Neuroscience Research Institute, University of California at Santa Barbara, Santa Barbara, California, USA
Bian Wu
1Neuroscience Research Institute, University of California at Santa Barbara, Santa Barbara, California, USA
Paul K. Hansma
2Department of Physics, University of California at Santa Barbara, Santa Barbara, California, USA
Kenneth S. Kosik
1Neuroscience Research Institute, University of California at Santa Barbara, Santa Barbara, California, USA
Article usage
Posted June 05, 2017.
MEA Viewer: a High-performance Interactive Application for Visualizing Electrophysiological Data
Daniel C. Bridges, Kenneth R. Tovar, Bian Wu, Paul K. Hansma, Kenneth S. Kosik
bioRxiv 146381; doi: https://doi.org/10.1101/146381
Subject Area
Subject Areas
- Biochemistry (11715)
- Bioengineering (8723)
- Bioinformatics (29129)
- Biophysics (14936)
- Cancer Biology (12049)
- Cell Biology (17359)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14144)
- Epidemiology (2067)
- Evolutionary Biology (18268)
- Genetics (12221)
- Genomics (16767)
- Immunology (11843)
- Microbiology (28014)
- Molecular Biology (11560)
- Neuroscience (60814)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4940)
- Plant Biology (10384)
- Synthetic Biology (2878)
- Systems Biology (7333)
- Zoology (1642)