Pollen analysis using multispectral imaging flow cytometry and deep learning
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Title
Pollen analysis using multispectral imaging flow cytometry and deep learning
Authors
Keywords
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Journal
NEW PHYTOLOGIST
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2020-08-28
DOI
10.1111/nph.16882
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Note: Only part of the references are listed.- Precise automatic classification of 46 different pollen types with convolutional neural networks
- (2020) Víctor Sevillano et al. PLoS One
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- (2018) Emmanuel Paradis et al. BIOINFORMATICS
- Biocommunication between Plants and Pollinating Insects through Fluorescence of Pollen and Anthers
- (2018) Shinnosuke Mori et al. JOURNAL OF CHEMICAL ECOLOGY
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- (2018) Amibeth H. Thompson et al. OECOLOGIA
- Flower preferences and pollen transport networks for cavity-nesting solitary bees: Implications for the design of agri-environment schemes
- (2018) Catherine E. A. Gresty et al. Ecology and Evolution
- Construction, validation, and application of nocturnal pollen transport networks in an agro-ecosystem: a comparison using light microscopy and DNA metabarcoding
- (2018) Callum J. Macgregor et al. ECOLOGICAL ENTOMOLOGY
- Quantitative and qualitative assessment of pollen DNA metabarcoding using constructed species mixtures
- (2018) Karen L. Bell et al. MOLECULAR ECOLOGY
- Improving classification of pollen grain images of the POLEN23E dataset through three different applications of deep learning convolutional neural networks
- (2018) Víctor Sevillano et al. PLoS One
- Change in nuclear DNA content and pollen size with polyploidisation in the sweet potato (Ipomoea batatas , Convolvulaceae ) complex
- (2018) S. Srisuwan et al. PLANT BIOLOGY
- A review of European studies on pollination networks and pollen limitation, and a case study designed to fill in a gap
- (2018) Joanne M Bennett et al. AoB Plants
- Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton
- (2018) Susanne Dunker et al. BMC ECOLOGY
- Applying Pollen DNA Metabarcoding to the Study of Plant–Pollinator Interactions
- (2017) Karen L. Bell et al. Applications in Plant Sciences
- Pollen DNA barcoding: current applications and future prospects
- (2016) Karen L. Bell et al. GENOME
- Comparative performance of airyscan and structured illumination superresolution microscopy in the study of the surface texture and 3D shape of pollen
- (2016) Mayandi Sivaguru et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Chromosome numbers of the flora of Germany—a new online database of georeferenced chromosome counts and flow cytometric ploidy estimates
- (2016) Juraj Paule et al. PLANT SYSTEMATICS AND EVOLUTION
- Chemotaxonomy as a tool for interpreting the cryptic diversity of Poaceae pollen
- (2016) Adele C.M. Julier et al. REVIEW OF PALAEOBOTANY AND PALYNOLOGY
- The fourth dimension of vegetation
- (2016) H. J. B. Birks et al. SCIENCE
- Food for Pollinators: Quantifying the Nectar and Pollen Resources of Urban Flower Meadows
- (2016) Damien M. Hicks et al. PLoS One
- Evolution of Angiosperm Pollen. 1. Introduction1
- (2015) Alexandra H. Wortley et al. ANNALS OF THE MISSOURI BOTANICAL GARDEN
- pez: phylogenetics for the environmental sciences
- (2015) William D. Pearse et al. BIOINFORMATICS
- Automated pollen identification using microscopic imaging and texture analysis
- (2015) J. Víctor Marcos et al. MICRON
- Natural polyamines and synthetic analogs modify the growth and the morphology of Pyrus communis pollen tubes affecting ROS levels and causing cell death
- (2015) Iris Aloisi et al. PLANT SCIENCE
- Constructing more informative plant–pollinator networks: visitation and pollen deposition networks in a heathland plant community
- (2015) G. Ballantyne et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Strong phylogenetic signals and phylogenetic niche conservatism in ecophysiological traits across divergent lineages of Magnoliaceae
- (2015) Hui Liu et al. Scientific Reports
- Taxonomic Characterization of Honey Bee (Apis mellifera) Pollen Foraging Based on Non-Overlapping Paired-End Sequencing of Nuclear Ribosomal Loci
- (2015) R. Scott Cornman et al. PLoS One
- Principles and methods for automated palynology
- (2014) K. A. Holt et al. NEW PHYTOLOGIST
- Evaluating multiplexed next-generation sequencing as a method in palynology for mixed pollen samples
- (2014) A. Keller et al. PLANT BIOLOGY
- Flow cytometric analysis of pollen grains collected from individual bees provides information about pollen load composition and foraging behaviour
- (2013) P. Kron et al. ANNALS OF BOTANY
- A new flow cytometry method enabling rapid purification of fossil pollen from terrestrial sediments for AMS radiocarbon dating
- (2013) RICHARD K. TENNANT et al. JOURNAL OF QUATERNARY SCIENCE
- Three keys to the radiation of angiosperms into freezing environments
- (2013) Amy E. Zanne et al. NATURE
- Linking Plant Specialization to Dependence in Interactions for Seed Set in Pollination Networks
- (2013) Cristina Tur et al. PLoS One
- Classification of grass pollen through the quantitative analysis of surface ornamentation and texture
- (2013) L. Mander et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Using flow cytometry to estimate pollen DNA content: improved methodology and applications
- (2012) Paul Kron et al. ANNALS OF BOTANY
- Classifying black and white spruce pollen using layered machine learning
- (2012) Surangi W. Punyasena et al. NEW PHYTOLOGIST
- How to measure and test phylogenetic signal
- (2012) Tamara Münkemüller et al. Methods in Ecology and Evolution
- The intrinsic fluorescence spectra of selected pollen and fungal spores
- (2011) David J. O’Connor et al. ATMOSPHERIC ENVIRONMENT
- Progress towards an automated trainable pollen location and classifier system for use in the palynology laboratory
- (2011) K. Holt et al. REVIEW OF PALAEOBOTANY AND PALYNOLOGY
- phytools: an R package for phylogenetic comparative biology (and other things)
- (2011) Liam J. Revell Methods in Ecology and Evolution
- An efficient and rapid transgenic pollen screening and detection method using flow cytometry
- (2010) Hong S. Moon et al. Biotechnology Journal
- Flow cytometry and laser scanning cytometry, a comparison of techniques
- (2010) William J. Mach et al. JOURNAL OF CLINICAL MONITORING AND COMPUTING
- Occurrence of viable unreduced pollen in a Begonia collection
- (2009) Angelo Dewitte et al. EUPHYTICA
- Analysis of pollen loads in a wild bee community (Hymenoptera: Apidae) – a method for elucidating habitat use and foraging distances
- (2008) Marion Beil et al. APIDOLOGIE
- Shape identification and particles size distribution from basic shape parameters using ImageJ
- (2008) C. Igathinathane et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Seasonal variation of collected pollen loads of honeybees (Apis melliferaL.anatoliaca)
- (2008) Aycan Bilisik et al. GRANA
- Cytotype distribution in the Campanula rotundifolia complex in Norway, and cyto-morphological characteristics of diploid and tetraploid groups
- (2008) MORTEN MOTZFELDT LAANEI et al. HEREDITAS
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