Results 1 to 10 of about 667,982 (118)

Rapid Visual Detection of Cyprinid Herpesvirus 2 Based on One-Tube RPA-CRISPR/Cas12a System [PDF]

Veterinary Sciences
Cyprinid herpesvirus 2 (CyHV-2) is a highly lethal pathogen responsible for substantial economic losses in farmed cyprinids worldwide. However, rapid and field-deployable diagnostic tools remain limited.
Jiaqi Li, Wen Zou, Yuping Tang, Mingyang Liu, Yongjie Liu, Yuhao Dong   +5 more
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A Comprehensive Visual Detection Strategy: Versatile LAMP Assay with Phenol Red and Lateral Flow Dipstick for On-Site Detection of Riemerella anatipestifer [PDF]

Microorganisms
Riemerella anatipestifer (RA) is the primary causative agent of infectious serositis in ducks, causing significant economic losses. In this study, a rapid and visual loop-mediated isothermal amplification (LAMP) assay targeting the conserved region of ...
Jiafeng Wu, Nansong Jiang, Qizhang Liang, Hongmei Chen, Rongchang Liu, Qiuling Fu, Guanghua Fu, Chunhe Wan, Ping Wei, Longfei Cheng, Yu Huang, Tianchao Wei, Weiwei Wang   +12 more
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Multiview-Learning-Based Generic Palmprint Recognition: A Literature Review

Mathematics, 2023
Palmprint recognition has been widely applied to security authentication due to its rich characteristics, i.e., local direction, wrinkle, and texture.
Shuping Zhao, Lunke Fei, Jie Wen
doaj   +1 more source

Breast mass classification based on supervised contrastive learning and multi‐view consistency penalty on mammography

IET Biometrics, 2022
Breast cancer accounts for the largest number of patients among all cancers in the world. Intervention treatment for early breast cancer can dramatically extend a woman's 5‐year survival rate.
Lilei Sun, Jie Wen, Junqian Wang, Zheng Zhang, Yong Zhao, Guiying Zhang, Yong Xu   +6 more
doaj   +1 more source

Two‐view attention‐guided convolutional neural network for mammographic image classification

CAAI Transactions on Intelligence Technology, 2023
Deep learning has been widely used in the field of mammographic image classification owing to its superiority in automatic feature extraction. However, general deep learning models cannot achieve very satisfactory classification results on mammographic ...
Lilei Sun, Jie Wen, Junqian Wang, Yong Zhao, Bob Zhang, Jian Wu, Yong Xu   +6 more
doaj   +1 more source

Obtaining Specific Sequence Tags for Yersinia pestis and Visually Detecting Them Using the CRISPR-Cas12a System

Pathogens, 2021
Three worldwide historical plague pandemics resulted in millions of deaths. Yersinia pestis, the etiologic agent of plague, is also a potential bioterrorist weapon. Simple, rapid, and specific detection of Y.
Gang Chen, Yufei Lyu, Dongshu Wang, Li Zhu, Shiyang Cao, Chao Pan, Erling Feng, Weicai Zhang, Xiankai Liu, Yujun Cui, Hengliang Wang   +10 more
doaj   +1 more source

Augmentation Method for High Intra-Class Variation Data in Apple Detection

Sensors, 2022
Deep learning is widely used in modern orchard production for various inspection missions, which helps improve the efficiency of orchard operations. In the mission of visual detection during fruit picking, most current lightweight detection models are ...
Huibin Li, Wei Guo, Guowen Lu, Yun Shi
doaj   +1 more source

A Visual Detection Method of Longitudinal Crack Based on Computer Image Processing During Slab Continuous Casting [PDF]

Archives of Metallurgy and Materials, 2018
Based on the mould temperature measured by thermocouples during slab continuous casting, a difference of temperature thermograph is developed to detect slab cracks.
X. Wang, Y. Liu, Y. Gao, Y. Sun, Du F., F. Wang, J. Wang   +6 more
doaj   +1 more source

Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach

Sensors, 2022
Cameras are widely used in the detection and tracking of moving targets. Compared to target visual tracking using a single camera, cooperative tracking based on multiple cameras has advantages including wider visual field, higher tracking reliability ...
Jinjun Rao, Kai Xu, Jinbo Chen, Jingtao Lei, Zhen Zhang, Qiuyu Zhang, Wojciech Giernacki, Mei Liu   +7 more
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A CRISPR/dCas9‐enabled, on‐site, visual, and bimodal biosensing strategy for ultrasensitive and self‐validating detection of foodborne pathogenic bacteria

Food Frontiers, 2023
It is imperative to develop practicable pathogenic bacteria detection methods. We devised a biosensor for the ultrasensitive detection of Salmonella typhimurium (S.
Yaru Li, Jiali Qiao, Zhiying Zhao, Qiang Zhang, Wenlu Zhang, Shuli Man, Shengying Ye, Kai Chen, Long Ma   +8 more
doaj   +1 more source