Title:	Automatic detection of neurons, astrocytes, and layers for NISSL-stained mouse cortex
Authors:	Nosova, Svetlana Snopova, Ludmila Turlapov, Vadim
Citation:	Journal of WSCG. 2017, vol. 25, no. 2, p. 143-150.
Issue Date:	2017
Publisher:	Václav Skala - UNION Agency
Document type:	článek article
URI:	wscg.zcu.cz/WSCG2017/!_2017_Journal_WSCG-No-2.pdf http://hdl.handle.net/11025/26292
ISSN:	1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (on-line)
Keywords:	zpracování obrazu;automatická detekce;optická mikroskopie;NISSL-barvení;myší mozková kůra;vrstvy kůry;neuron;astrocyt;předběžné zpracování;morfologické rysy
Keywords in different language:	image processing;automatic detection;optical microscopy;NISSL-staining;mouse cortex;cortex layers;neuron;astrocyte;preprocessing;morphology features
Abstract in different language:	We present an image processing algorithm for automatic detection of cortex layers and cells from optical microscopy images for Nissl-stained mouse brain. For every layer of cortex we automatically detect a shape and localization of following cortex cells type: neurons of molecular layer, pyramidal neurons, stellate neurons, and astrocytes. The algorithm includes the steps of: preprocessing, neurons and astrocytes localization, neurons classification, refined cortex layer detection, neurons reclassification. For preprocessing we use converting to gray image, Gaussian blurring, converting to black-white image after background removing, and rough estimate of layers. We use morphological operations with variation radius of structure element for neurons localization and neurons classification.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	Volume 25, Number 2 (2017)

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