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14 March 2017 Gray-level co-occurrence matrix analysis of several cell types in mouse brain using resolution-enhanced photothermal microscopy
Takayoshi Kobayashi, Durga Sundaram, Kazuaki Nakata, Hiromichi Tsurui
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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.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Takayoshi Kobayashi, Durga Sundaram, Kazuaki Nakata, and Hiromichi Tsurui "Gray-level co-occurrence matrix analysis of several cell types in mouse brain using resolution-enhanced photothermal microscopy," Journal of Biomedical Optics 22(3), 036011 (14 March 2017). https://doi.org/10.1117/1.JBO.22.3.036011
Received: 20 January 2017; Accepted: 17 February 2017; Published: 14 March 2017
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Cited by 8 scholarly publications.
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KEYWORDS
Brain

Neurons

Microscopy

Laser beam diagnostics

Biological research

Cerebellum

Glia

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