Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets
Authors
Keywords
Neural networks, Zebrafish, Imaging techniques, Vibrio, Fluorescence microscopy, Gastrointestinal tract, Pseudomonas, Machine learning
Journal
PLoS Computational Biology
Volume 14, Issue 12, Pages e1006628
Publisher
Public Library of Science (PLoS)
Online
2018-12-04
DOI
10.1371/journal.pcbi.1006628
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- TheVibrio choleraetype VI secretion system can modulate host intestinal mechanics to displace gut bacterial symbionts
- (2018) Savannah L. Logan et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
- (2018) Alexander Mathis et al. NATURE NEUROSCIENCE
- Automated analysis of high‐content microscopy data with deep learning
- (2017) Oren Z Kraus et al. Molecular Systems Biology
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Host Gut Motility Promotes Competitive Exclusion within a Model Intestinal Microbiota
- (2016) Travis J Wiles et al. PLOS BIOLOGY
- Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments
- (2016) David A. Van Valen et al. PLoS Computational Biology
- Investigating Bacterial-Animal Symbioses with Light Sheet Microscopy
- (2016) Michael J. Taormina et al. BIOLOGICAL BULLETIN
- Deep Learning in Label-free Cell Classification
- (2016) Claire Lifan Chen et al. Scientific Reports
- Multidimensional immunolabeling and 4D time-lapse imaging of vital ex vivo lung tissue
- (2015) Gerald Burgstaller et al. AMERICAN JOURNAL OF PHYSIOLOGY-LUNG CELLULAR AND MOLECULAR PHYSIOLOGY
- The composition of the zebrafish intestinal microbial community varies across development
- (2015) W Zac Stephens et al. ISME Journal
- Visualizing Whole-Brain Activity and Development at the Single-Cell Level Using Light-Sheet Microscopy
- (2015) Philipp J. Keller et al. NEURON
- Identification of Population Bottlenecks and Colonization Factors during Assembly of Bacterial Communities within the Zebrafish Intestine
- (2015) W. Zac Stephens et al. mBio
- Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans
- (2015) Mei Zhan et al. PLoS Computational Biology
- Advances in whole-embryo imaging: a quantitative transition is underway
- (2014) Periklis Pantazis et al. NATURE REVIEWS MOLECULAR CELL BIOLOGY
- Spatial and Temporal Features of the Growth of a Bacterial Species Colonizing the Zebrafish Gut
- (2014) Matthew Jemielita et al. mBio
- Imaging cell biology in live animals: Ready for prime time
- (2013) Roberto Weigert et al. JOURNAL OF CELL BIOLOGY
- Imaging Morphogenesis: Technological Advances and Biological Insights
- (2013) P. J. Keller SCIENCE
- Brain-wide neuronal dynamics during motor adaptation in zebrafish
- (2012) Misha B. Ahrens et al. NATURE
- High-resolution live imaging of plant growth in near physiological bright conditions using light sheet fluorescence microscopy
- (2011) Alexis Maizel et al. PLANT JOURNAL
- Selective plane illumination microscopy techniques in developmental biology
- (2009) J. Huisken et al. DEVELOPMENT
- Reconstruction of Zebrafish Early Embryonic Development by Scanned Light Sheet Microscopy
- (2008) P. J. Keller et al. SCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now