Modeling method for vascular bundle model of maize leaves

Abstract

In one embodiment, the invention provides a modeling method for vascular bundle model of maize leaves, wherein the method includes steps of: 1) with ethanol solutions in increasing concentrations, performing multi-dehydration to a maize leaf or a maize leaf section; 2) soaking the dehydrated maize leaf or maize leaf section in an iodine contrast agent to dye the raw materials, wherein the iodine contrast agent is an I2-KI ethanol solution; 3) with CO2 critical point drying method, drying the dyed maize leaf or a maize leaf section, and based on CT technology, acquiring the vascular bundle model of maize leaves. According to the embodiment, the maize leaves are subjected to multi-dehydration with the ethanol solutions in increasing concentrations, so that complete dehydration is ensured; bymeans of dyeing with the iodine contrast agent, recognition degree on vascular bundles is increased; with the CO2 critical point drying method for drying the sample, a problem of drying deformation of the maize leaves is solved; and after drying, high-quality vascular bundle model of the maize leaves can be obtained through CT scanning.

Description

technical field [0001] The embodiments of the present invention relate to the fields of agricultural technology and graphics, and more specifically, relate to a modeling method for a vascular bundle model of a corn leaf. Background technique [0002] my country is a country with a large population, and the level of self-sufficiency in food is related to the livelihood of the people, and even the security and stability of the country. In 2012, my country's corn planting area was 34.949 million hm2, and the total corn output was 208 million tons, surpassing rice for the first time to become the food crop with the largest planting area and total output in China. Maize is also one of the dryland crops that require a lot of water and are sensitive to water stress. my country is one of the major arid countries in the world. The area of ​​arid and semi-arid land accounts for about 47% of the total area of ​​the country, and the area of ​​arid and semi-arid cultivated land accounts...

AI Technical Summary

Problems solved by technology

[0005] However, the use of micro-CT to scan corn leaves puts forward higher requirements for early sample preparation

Fresh corn leaves have a high moisture content, and are prone to dehydration and deformation during scanning, which eventually causes serious smearing in the image, and the internal structure cannot be distinguished

At the same time, corn leaves are mainly composed of low atomic weight elements, which have a low absorption rate for X-rays and are not much different from the background. The signal-to-noise ratio and contrast of the image are very low

In addition, the flaky structure of corn leaves takes up a lot of space, and to achieve overall scanning, it is necessary to sacrifice resolution

These all limit the application of micro-CT in the three-dimensional extraction of leaf vascular bundles

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