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Trends in Online Biomonitoring Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Unsupervised Parametrization of Nano-Objects in Electron Microscopy

Authors : Pavla Urbanová, Norbert Cyran, Pavel Souček, Antonín Bárta, Vladyslav Bozhynov, Dinara Bekkhozhayeva, Petr Císař, Miloš Železný

Published in: Bioinformatics and Biomedical Engineering

Publisher: Springer International Publishing

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Abstract

The observation of the nano sized objects in electron microscopy is demanding an automation of evaluation of captured images. The analysis of the digital images should be focused on objects detection, classification, and parametrization. In this work, three different examples of bioinformatical tasks are presented and discussed. The sphericity of such objects is one of the key parameter in nano object detections. The parametrization has to deal with specific properties of electron microscopy images, like high level of noise, low contrast, uneven background, and few pixels per objects. The presented approach combines unsupervised filtration and automatic object detection. The result is the software application with simple graphic user interface.

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Metadata
Title
Unsupervised Parametrization of Nano-Objects in Electron Microscopy
Authors
Pavla Urbanová
Norbert Cyran
Pavel Souček
Antonín Bárta
Vladyslav Bozhynov
Dinara Bekkhozhayeva
Petr Císař
Miloš Železný
Copyright Year
2018
Book
Bioinformatics and Biomedical Engineering

Print ISBN: 978-3-319-78722-0

Electronic ISBN: 978-3-319-78723-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-78723-7_12

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