ArticleMicromachines2019
Portable Rice Disease Spores Capture and Detection Method Using Diffraction Fingerprints on Microfluidic Chip.
Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 25 citations in OpenAlex.
- Microfluidic Sensors Integrated with Smartphones for Applications in Forensics, Agriculture, and Environmental Monitoring.Micromachines · 2025Review
- Cucumber pathogenic spores' detection using the GCS-YOLOv8 network with microscopic images in natural scenes.Plant methods · 2024Article
- Recent Advances in Microfluidics for the Early Detection of Plant Diseases in Vegetables, Fruits, and Grains Caused by Bacteria, Fungi, and Viruses.Journal of agricultural and food chemistry · 2024Review
- Article
- Detection of Rice Fungal Spores Based on Micro- Hyperspectral and Microfluidic Techniques.Biosensors · 2023Article
- Spectral characterization and severity assessment of rice blast disease using univariate and multivariate models.Frontiers in plant science · 2023Article
- A Detection Method for Crop Fungal Spores Based on Microfluidic Separation Enrichment and AC Impedance Characteristics.Journal of fungi (Basel, Switzerland) · 2022Article
- A Method for Capture and Detection of Crop Airborne Disease Spores Based on Microfluidic Chips and Micro Raman Spectroscopy.Foods (Basel, Switzerland) · 2022Article
- A Rapid Detection Method for Tomato Gray Mold Spores in Greenhouse Based on Microfluidic Chip Enrichment and Lens-Less Diffraction Image Processing.Foods (Basel, Switzerland) · 2021Article
- Hyperspectral Imaging Combined With Deep Transfer Learning for Rice Disease Detection.Frontiers in plant science · 2021Article
- Investigation on Data Fusion of Multisource Spectral Data for Rice Leaf Diseases Identification Using Machine Learning Methods.Frontiers in plant science · 2020Article
- Two-Dimensional Hole-Array Grating-Coupling-Based Excitation of Bloch Surface Waves for Highly Sensitive Biosensing.Nanoscale research letters · 2019Article
- Editorial for the Special Issue on "Micro- and Nanofluidics for Bionanoparticle Analysis".Micromachines · 2019Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Crop diseases cause great harm to food security, 90% of these are caused by fungal spores. This paper proposes a crop diseases spore detection method, based on the lensfree diffraction fingerprint and microfluidic chip. The spore diffraction images are obtained by a designed large field of view lensless diffraction detection platform which contains the spore enrichment microfluidic chip and lensless imaging module. By using the microfluidic chip to enrich and isolate spores in advance, the required particles can be captured in the chip enrichment area, and other impurities can be filtered to reduce the interference of impurities on spore detection. The light source emits partially coherent light and irradiates the target to generate diffraction fingerprints, which can be used to distinguish spores and impurities. According to the theoretical analysis, two parameters, Peak to Center ratio (PCR) and Peak to Valley ratio (PVR), are found to quantify these spores. The correlation coefficient between the detection results of rice blast spores by the constructed device and the results of microscopic artificial identification was up to 0.99, and the average error rate of the proposed device was only 5.91%. The size of the device is only 4 cm × 4 cm × 5 cm, and the cost is less than $150, which is one thousandth of the existing equipment. Therefore, it may be widely used as an early detection method for crop disease caused by spores.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.