Point-of-Care Pathogen Testing Using Photonic Crystals and Machine Vision for Diagnosis of Urinary Tract Infections

Liu, Haoran; Li, Zhihao; Shen, Ruichen; Li, Zhiheng; Yang, Yanbing; Yuan, Quan

doi:10.1021/acs.nanolett.0c04942

Cited by 53 publications

(37 citation statements)

References 53 publications

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“…In the process of coordinate calibration, machine vision model is mainly analyzed from two aspects: coordinate transformation and corresponding coordinate optimization [12,13].…”

Section: Machine Vision Model Calibrationmentioning

confidence: 99%

Design and Application of Art Education Communication Platform Based on Machine Vision

Chen

Tang

et al. 2022

Security and Communication Networks

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There are some problems in the design and application of the art education exchange platform. In order to further analyze the relevant content of the art education exchange, based on machine vision theory, model calibration, and coordinate change are adopted to modify the original model, so as to obtain the optimized model. This model can be used to analyze the design and application of art education platform. Relevant studies show that, according to the coordinate parameter curve, the parameter α plays a promoting role on the coordinate value, while the parameter β plays a promoting role on the coordinate value first and then plays an inhibiting role. The parameter γ also promotes and inhibits coordinate values. The curve corresponding to parameter M1 shows a gradual decline, and the curve of parameter M2 has little influence on coordinate data. The curve corresponding to parameter M3 also shows a linear trend of change. Through analysis, it can be seen that M3 has the greatest influence on coordinate data. By using machine vision model to design and analyze the communication platform of art education, the changing trend of different indicators can be obtained. It can be seen from the analysis that both language and vocal music have obvious stability in the calculation process, which is an inherent attribute of communication platform. Finally, the accuracy of the optimization model is verified by analyzing and predicting the data. This research can provide theoretical support for the application of machine vision model in other fields.

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“…In the process of coordinate calibration, machine vision model is mainly analyzed from two aspects: coordinate transformation and corresponding coordinate optimization [12,13].…”

Section: Machine Vision Model Calibrationmentioning

confidence: 99%

Design and Application of Art Education Communication Platform Based on Machine Vision

Chen

Tang

et al. 2022

Security and Communication Networks

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“…Yet, the reliance on manual observation rather than instrumental measurement might cause large subjective uncertainty, as well as difficulty in quantitative data. The integration of digital technology [126] (e.g., machine vision) to simulate human visual ability and objective perception, the accurate and reliable results could be easily quantified, and thus reducing subjective errors in manual observations.…”

Section: Discussionmentioning

confidence: 99%

Advances in Visual Immunoassays for Sensitive Detection of Mycotoxins in Food—A Review

Liang

2021

The 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry

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Mycotoxins are the toxic secondary metabolites naturally produced by fungi; their contamination in agricultural products and food severely threatens food safety and public health worldwide. The reliable, efficient, and sensitive quantification of mycotoxins in food has become increasingly challenging to tackle due to the complexity of food matrices and their low level. Visual detection has emerged as a popular trend toward miniaturization and simplification of mycotoxins assays yet is constrained with their limited sensitivity. This review mainly focuses on the various sensitive visual immunoassays for signal amplified detection of mycotoxins. These signal amplified immunoassays for the improved sensitivity of mycotoxins detection in food through nanomaterials for encapsulation enzyme, enzyme-mediated nanomaterials as the amplified signal readout, and nanozyme. Furthermore, the underlying principle and the advantages of visual immunoassays for mycotoxins have been proposed. And the challenges and perspectives have been proposed to develop improved efficient visual immunoassays for mycotoxins in food.

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“…In the presence of P. aeruginosa , red-shifts reflection spectra occurred due to the expansion of hydrogel, which in turn increases the lattice spacing [ 146 ]. Liu and co-workers explored the photonic crystal-based biochips to detect bacteria in urine samples with the help of a machine vision (MV) diagnostic system [ 161 ]. The MV algorithm gives precise results, and apparently is a promising technology for developing POC applications.…”

Section: Biosensors For Pathogen Detectionmentioning

confidence: 99%

“…A brief summary of the emerging smart materials for microbial pathogens is shown in Table 3. Not mentioned [160] Not mentioned [146] Not mentioned [161] strategies of E. coli using the nanoarray setup. Reprinted with permission from Ref.…”

Section: Responsive Polymer Based Systemmentioning

confidence: 99%

Emerging Bioanalytical Devices and Platforms for Rapid Detection of Pathogens in Environmental Samples

et al. 2022

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The development of robust bioanalytical devices and biosensors for infectious pathogens is progressing well with the advent of new materials, concepts, and technology. The progress is also stepping towards developing high throughput screening technologies that can quickly identify, differentiate, and determine the concentration of harmful pathogens, facilitating the decision-making process for their elimination and therapeutic interventions in large-scale operations. Recently, much effort has been focused on upgrading these analytical devices to an intelligent technological platform by integrating them with modern communication systems, such as the internet of things (IoT) and machine learning (ML), to expand their application horizon. This review outlines the recent development and applications of bioanalytical devices and biosensors to detect pathogenic microbes in environmental samples. First, the nature of the recent outbreaks of pathogenic microbes such as foodborne, waterborne, and airborne pathogens and microbial toxins are discussed to understand the severity of the problems. Next, the discussion focuses on the detection systems chronologically, starting with the conventional methods, advanced techniques, and emerging technologies, such as biosensors and other portable devices and detection platforms for pathogens. Finally, the progress on multiplex assays, wearable devices, and integration of smartphone technologies to facilitate pathogen detection systems for wider applications are highlighted.

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Point-of-Care Pathogen Testing Using Photonic Crystals and Machine Vision for Diagnosis of Urinary Tract Infections

Cited by 53 publications

References 53 publications

Design and Application of Art Education Communication Platform Based on Machine Vision

Design and Application of Art Education Communication Platform Based on Machine Vision

Advances in Visual Immunoassays for Sensitive Detection of Mycotoxins in Food—A Review

Emerging Bioanalytical Devices and Platforms for Rapid Detection of Pathogens in Environmental Samples

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