Detection and Identification of Neurons in Images of Microscopic Brain Sections

Igor Gurevich, Artem Myagkov, Yuriy Sidorov, Yulia Trusova, Vera Yashina

Abstract

This paper presents a new combined mathematical method, which were proposed, implemented, and experimentally tested for extracting information necessary for modeling and, in future, predicting Parkinson’s disease. The method was developed for extraction “neurons” from microscopic images of brain slices of experimental animals. Then it was adapted for different types of initial data, because unfortunately the quality of initial images depends on skills of the specialist who has done an experiment. Now the method allows one to detect and identify as neurons a set of small informative extended objects with well distinguished (by brightness) oval inclusions. The result is a binary image of the contours of detected objects and their inclusions and a list of characteristics calculated for each detected object. The method is based on the joint application of image processing methods, methods of mathematical morphology, methods of segmentation, and the methods of classification of microscopic images. The method was applied to the following areas of brain: the substantia nigra pars compacta and the arcuate nucleus of hypothalamus.

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Paper Citation


in Harvard Style

Gurevich I., Myagkov A., Sidorov Y., Trusova Y. and Yashina V. (2013). Detection and Identification of Neurons in Images of Microscopic Brain Sections . In Proceedings of the 4th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-4, (VISIGRAPP 2013) ISBN 978-989-8565-50-1, pages 127-136. DOI: 10.5220/0004396001270136


in Bibtex Style

@conference{imta-413,
author={Igor Gurevich and Artem Myagkov and Yuriy Sidorov and Yulia Trusova and Vera Yashina},
title={Detection and Identification of Neurons in Images of Microscopic Brain Sections},
booktitle={Proceedings of the 4th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-4, (VISIGRAPP 2013)},
year={2013},
pages={127-136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004396001270136},
isbn={978-989-8565-50-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-4, (VISIGRAPP 2013)
TI - Detection and Identification of Neurons in Images of Microscopic Brain Sections
SN - 978-989-8565-50-1
AU - Gurevich I.
AU - Myagkov A.
AU - Sidorov Y.
AU - Trusova Y.
AU - Yashina V.
PY - 2013
SP - 127
EP - 136
DO - 10.5220/0004396001270136