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Spore Detection Method of Magnaporthe grisea Based on Microscopic Image Analysis

A technology of microscopic image and rice blast fungus, applied in the field of rice blast detection, can solve the problems of difficult image processing and unclear boundary information.

Active Publication Date: 2017-02-22
SOUTH CHINA AGRI UNIV
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Problems solved by technology

[0006] Usually, when the spores of Magnaporthe grisea are manually counted under a microscope, the magnification is 10×10. At this time, the middle part of the spores is transparent and only contains boundary information. Sometimes the boundary information is not clear, which brings great difficulties to image processing.

Method used

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  • Spore Detection Method of Magnaporthe grisea Based on Microscopic Image Analysis
  • Spore Detection Method of Magnaporthe grisea Based on Microscopic Image Analysis
  • Spore Detection Method of Magnaporthe grisea Based on Microscopic Image Analysis

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Embodiment 1

[0056] Such as figure 1 Shown, the rice blast fungus spore detection method of the present embodiment may further comprise the steps:

[0057] 1. Preparation of spore suspension

[0058] Obtain multiple single-spore isolated culture strains (from Guangdong indica rice varieties), culture the single-spore isolated culture strains in test tubes containing yeast starch medium for 7-10 days, transfer them to corn grain medium for expanded culture for 10-13 days, and wait for the bacteria to The silk is covered with corn kernels, and the hyphae on the surface of the corn kernels are washed with sterile water, and the corn kernels are placed in a sterilized enamel dish (size: 25×19×2cm), and a layer of wet gauze is covered on the enamel dish. Cultivate under light for 3-4 days; wash the spores attached to the corn kernels with sterile water, filter the corn residue with two layers of fine gauze; then dilute with water to prepare spore suspensions with different concentrations.

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Abstract

The invention discloses a method for detecting a magnaporthe grisea spore based on microscopic image analysis. The method comprises the following steps: obtaining a spore microscopic image in the spore suspension solution by a magnaporthe grisea spore image detecting system; processing the spore microscopic image by using the image illumination adjustment, the median filtering, the edge detection and the morphological algorithm, and extracting a microscopic image containing the spore by combining with the shape characteristic parameters; separating the adhesion spores by using an improved watershed algorithm to realize the spore detection and quantitative statistics in the microscopic image. By adopting the method for detecting the magnaporthe grisea spore, the number of the magnaporthe grisea spore can be rapidly, accurately and automatically detected, the technical assistance for the indoor resistance identification of the magnaporthe grisea is provided and the technical reference for automatically monitoring the magnaporthe grisea in the fields is also provided.

Description

technical field [0001] The invention relates to a detection method for rice blast fungus spores, in particular to a detection method for rice blast fungus spores based on microscopic image analysis, and belongs to the technical field of rice blast disease detection. Background technique [0002] Breeding and planting resistant varieties is an effective measure to prevent and control rice blast. In the laboratory resistance identification of rice blast, the number of spores in the suspension of the pathogen is an important factor affecting the results of the resistance identification. When the number of spores in the suspension is not When the inoculation requirements are met, the resistance level of the rice variety will be wrongly evaluated; in addition, the occurrence of rice blast and the severity of the disease are closely related to the number of pathogenic bacteria (conidia) in a certain area. Therefore, it is of great significance to study rapid and accurate detection...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/06G06K9/54C12R1/645
Inventor 齐龙蒋郁谭永炘赵柳霖芦玉龙
Owner SOUTH CHINA AGRI UNIV
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