New Results
StomataCounter: a deep learning method applied to automatic stomatal identification and counting
Karl C. Fetter, Sven Eberhardt, Rich S. Barclay, Scott Wing, Stephen R. Keller
doi: https://doi.org/10.1101/327494
Karl C. Fetter
aDepartment of Plant Biology, University of Vermont
bDepartment of Paleobiology, Smithsonian Institution, National Museum of Natural History
Sven Eberhardt
cAmazon.com, Inc
Rich S. Barclay
bDepartment of Paleobiology, Smithsonian Institution, National Museum of Natural History
Scott Wing
bDepartment of Paleobiology, Smithsonian Institution, National Museum of Natural History
Stephen R. Keller
aDepartment of Plant Biology, University of Vermont
Article usage
Posted May 21, 2018.
StomataCounter: a deep learning method applied to automatic stomatal identification and counting
Karl C. Fetter, Sven Eberhardt, Rich S. Barclay, Scott Wing, Stephen R. Keller
bioRxiv 327494; doi: https://doi.org/10.1101/327494
Subject Area
Subject Areas
- Biochemistry (11495)
- Bioengineering (8570)
- Bioinformatics (28733)
- Biophysics (14728)
- Cancer Biology (11852)
- Cell Biology (17061)
- Clinical Trials (138)
- Developmental Biology (9275)
- Ecology (13967)
- Epidemiology (2067)
- Evolutionary Biology (18069)
- Genetics (12108)
- Genomics (16555)
- Immunology (11656)
- Microbiology (27535)
- Molecular Biology (11325)
- Neuroscience (59853)
- Paleontology (446)
- Pathology (1839)
- Pharmacology and Toxicology (3169)
- Physiology (4854)
- Plant Biology (10223)
- Synthetic Biology (2827)
- Systems Biology (7271)
- Zoology (1607)