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Texture Analysis of Plant Microtubule Cytoskeleton Based on Gray Level Co-occurrence Matrix
Lü Yi1, Ni Yunlu2, Shang Peng1*
1Key Laboratory for Space Bioscience and Biotechnology, Institute of Special Environment Biophysics,School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China; 2School of Marine, Northwestern Polytechnical Un
Abstract: Microtubules play an important role in plant cell biochemical and physiological process. It is recognized that the changes of microtubules structure will be indicated the functional alter. At present， most researchers used fluorescence imaging technology to observe and describe microtubule cytoskeleton. Few quantification methods are applied in microtubules analysis. In this paper， according to the characteristic of plant cortical microtubule array， gray level co-occurrence matrix algorithm was used to make texture analysis for plant cortical microtubule and 2 representative texture parameters (inverse different moment and variance) were selected which reflected the regularity degree and periodicity information of texture. In order to identify the application of the selected parameters， two types of plant cortical microtubule image were compared by statistical analysis. The result showed that the differences of Inverse different moment and Variance between the two groups are significant， respectively. It is indicated that the two selected texture parameters are representative as well as convenient and time saving by using this kind of analyzing method. In conclusion， it is provided a reference to better description and quantitative image analysis of microtubules morphology changes in this paper.
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