New Results
NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells
Linfeng Yang, Rajarshi. P. Ghosh, J. Matthew Franklin, Chenyu You, Jan T. Liphardt
doi: https://doi.org/10.1101/749754
Linfeng Yang
1Bioengineering, Stanford University, Stanford, CA 94305, USA
2BioX Institute, Stanford University, Stanford, CA 94305, USA
3ChEM-H, Stanford University, Stanford, CA 94305, USA
4Cell Biology Division, Stanford Cancer Institute, Stanford, CA 94305, USA
Rajarshi. P. Ghosh
1Bioengineering, Stanford University, Stanford, CA 94305, USA
2BioX Institute, Stanford University, Stanford, CA 94305, USA
3ChEM-H, Stanford University, Stanford, CA 94305, USA
4Cell Biology Division, Stanford Cancer Institute, Stanford, CA 94305, USA
J. Matthew Franklin
1Bioengineering, Stanford University, Stanford, CA 94305, USA
2BioX Institute, Stanford University, Stanford, CA 94305, USA
3ChEM-H, Stanford University, Stanford, CA 94305, USA
4Cell Biology Division, Stanford Cancer Institute, Stanford, CA 94305, USA
5Chemical Engineering, Stanford University, Stanford, CA 94305, USA
Chenyu You
6Electrical Engineering, Stanford University, Stanford, CA 94305, USA
Jan T. Liphardt
1Bioengineering, Stanford University, Stanford, CA 94305, USA
2BioX Institute, Stanford University, Stanford, CA 94305, USA
3ChEM-H, Stanford University, Stanford, CA 94305, USA
4Cell Biology Division, Stanford Cancer Institute, Stanford, CA 94305, USA
Article usage
Posted August 28, 2019.
NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells
Linfeng Yang, Rajarshi. P. Ghosh, J. Matthew Franklin, Chenyu You, Jan T. Liphardt
bioRxiv 749754; doi: https://doi.org/10.1101/749754
Subject Area
Subject Areas
- Biochemistry (11703)
- Bioengineering (8718)
- Bioinformatics (29127)
- Biophysics (14930)
- Cancer Biology (12048)
- Cell Biology (17353)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14143)
- Epidemiology (2067)
- Evolutionary Biology (18266)
- Genetics (12219)
- Genomics (16765)
- Immunology (11841)
- Microbiology (28003)
- Molecular Biology (11551)
- Neuroscience (60804)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3229)
- Physiology (4939)
- Plant Biology (10383)
- Synthetic Biology (2877)
- Systems Biology (7333)
- Zoology (1642)