Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis-Reference-Cited by-同舟云学术

Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis

Published:2016 Issue: Volume:3 Page:231-241
ISSN:2215-0161
Container-title:MethodsX
language:en
Short-container-title:MethodsX

Author:

Korsnes Reinert,Westrum Karin,Fløistad Erling,Klingen Ingeborg

Funder

NIBIO

FFI

Publisher

Elsevier BV

Subject

Medical Laboratory Technology,Clinical Biochemistry

Reference22 articles.

1. A potential role of Rhopalosiphum padi (Linneus) colonies on winter host, Padum avium linneus, as an inoculum source of fungal diseases of cereal aphids in agricultural landscape;Barta;Acta Fytotechnica et Zootechnica,2004

2. Differentiation of allergenic fungal spores by image analysis, with application to aerobiological counts;Benyon;Aerobiologia,1999

3. A novel computerised image analysis method for the measurement of production of conidia from the aphid pathogenic fungus Erynia neoaphidis;Bonner;FEMS Microbiol. Lett.,2003

4. Protoplasts in the in vivo life cycle of Erynia neoaphidis;Butt;J. Gen. Microbiol.,1981

5. A histological study of the invasive and developmental processes of the aphid pathogen Erynia neoaphidis (Zygomycotina: Entomophthorales) in the pea aphid Acyrthosiphon pisum;Butt;Can. J. Bot.,1990

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated Assessment of Wheat Leaf Disease Spore Concentration Using a Smart Microscopy Scanning System;Agronomy;2024-08-28

2. It’s a Trap! Part I: Exploring the Applications of Rotating-Arm Impaction Samplers in Plant Pathology;Plant Disease;2024-07-01

3. Wheat Fusarium Head Blight Automatic Non-Destructive Detection Based on Multi-Scale Imaging: A Technical Perspective;Plants;2024-06-21

4. A deep semantic network-based image segmentation of soybean rust pathogens;Frontiers in Plant Science;2024-03-27

5. Recognition and Temperature Effect Analysis of Cucumber Gray Mold Spore Germination Based on Dual Lightweight Yolov8s;2024