Comprehensive method for classification of layers and Nissl-stained cells of mice brain cortex on the basis of layered statistics of cells descriptors
https://doi.org/10.23947/2587-8999-2018-2-1-60-67
Abstract
A comprehensive method for automatic detection layers of the cortex and brain cells from images of mouse cortex sections stained according to Nissl is proposed. A table is given linking the values of 11 descriptors of 4 types of brain cells with the number of the cortex layer. Since the reconstruction of the boundaries of layers, the method allows to detect astrocytes and 3 types of neurons. After cell localization, which plays of importante role for algorithmization, the segmentation procedure defines the cell boundary via the Canny method and uses the descriptors' values for the layer.
Keywords
image processing,
optical microscopy,
nissl-staining,
mouse brain cortex,
segmentation,
layers by Broadman,
сlassification,
neuron,
astrocyte,
Gauss-filtering,
math morphology,
Canny method,
ray-method
Supporting agencies: The research is supported by the Federal Target Program of the Ministry of Education and Science of the Russian Federation, contract 14.581.21.0016 (RFMEFI58115X0016).
About the Authors
Vadim Yevgen'yevich Turlapov
National Research Lobachevsky State University of Nizhni Novgorod
(Gagarin Ave., 23, Nizhny Novgorod, Russia)
Russian Federation
Russian Federation
Turlapov Vadim Yevgen'yevich, Professor, Doctor of Technical Sciences, National Research Lobachevsky State University of Nizhni Novgorod, (Gagarin Ave., 23, Nizhny Novgorod, Russia)
Svetlana Aleksandrovna Nosova
National Research Lobachevsky State University of Nizhni Novgorod
(Gagarin Ave., 23, Nizhny Novgorod, Russia)
Russian Federation
Russian Federation
Nosova Svetlana Aleksandrovna, post-graduate student, National Research Lobachevsky State University of Nizhni Novgorod, (Gagarin Ave., 23, Nizhny Novgorod, Russia)
References
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Review
For citations:
Turlapov V.Ye., Nosova S.A. Comprehensive method for classification of layers and Nissl-stained cells of mice brain cortex on the basis of layered statistics of cells descriptors. Computational Mathematics and Information Technologies. 2018;2(1). https://doi.org/10.23947/2587-8999-2018-2-1-60-67
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