Gray-level co-occurrence matrix analysis of several cell types in mouse brain using resolution-enhanced photothermal microscopy
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Published on: October 8, 2013
Takayoshi Kobayashi1, Durga Sundaram2, Kazuaki Nakata3
1University of Electro-Communications, Advanced Ultrafast Laser Research Center, Chofu, Tokyo, JapanbJapan Science and Technology Agency, Core Research for Evolutional Science and Technology, K's Gobancho, Chiyoda-ku, Tokyo, JapancNational Chiao-Tung University, Department of Electrophysics, Hsinchu, TaiwandOsaka University, Institute of Laser Engineering, Suita, Osaka, Japan.
Abstract:
Qualifications of intracellular structure were performed for the first time using the gray-level co-occurrence matrix (GLCM) method for images of cells obtained by resolution-enhanced photothermal imaging. The GLCM method has been used to extract five parameters of texture features for five different types of cells in mouse brain; pyramidal neurons and glial cells in the basal nucleus (BGl), dentate gyrus granule cells, cerebellar Purkinje cells, and cerebellar granule cells. The parameters are correlation, contrast, angular second moment (ASM), inverse difference moment (IDM), and entropy for the images of cells of interest in a mouse brain. The parameters vary depending on the pixel distance taken in the analysis method. Based on the obtained results, we identified that the most suitable GLCM parameter is IDM for pyramidal neurons and BGI, granule cells in the dentate gyrus, Purkinje cells and granule cells in the cerebellum. It was also found that the ASM is the most appropriate for neurons in the basal nucleus.
