Automatic Detection and Segmentation of Exosomes in
Transmission Electron Microscopy

D 2016

Automatic Detection and Segmentation of Exosomes in Transmission Electron Microscopy

ŠTĚPKA, Karel, Martin MAŠKA, Jakub Jozef PÁLENIK, Vendula POSPÍCHALOVÁ, Anna KOTRBOVÁ et. al.

Basic information

Original name

Automatic Detection and Segmentation of Exosomes in Transmission Electron Microscopy

Authors

ŠTĚPKA, Karel (203 Czech Republic, belonging to the institution), Martin MAŠKA (203 Czech Republic, belonging to the institution), Jakub Jozef PÁLENIK (703 Slovakia, belonging to the institution), Vendula POSPÍCHALOVÁ (203 Czech Republic, belonging to the institution), Anna KOTRBOVÁ (203 Czech Republic), Ladislav ILKOVICS (203 Czech Republic, belonging to the institution), Dobromila KLEMOVÁ (203 Czech Republic, belonging to the institution), Aleš HAMPL (203 Czech Republic, belonging to the institution), Vítězslav BRYJA (203 Czech Republic, belonging to the institution) and Pavel MATULA (203 Czech Republic, belonging to the institution)

Edition

Cham, Switzerland, Computer Vision -- ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I, p. 318-325, 8 pp. 2016

Publisher

Springer International Publishing

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

http://dx.doi.org/10.1007/978-3-319-46604-0_23

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/16:00091584

Organization unit

Faculty of Informatics

ISBN

978-3-319-46603-3

ISSN

DOI

http://dx.doi.org/10.1007/978-3-319-46604-0_23

Keywords in English

Exosome; Detection; Segmentation; Transmission electron microscopy; Image processing

Abstract

V originále

We presented a morphological method for automatic detection and segmentation of exosomes in transmission electron microscopy images. The exosome segmentation was carried out using morphological seeded watershed on gradient magnitude image, with the seeds established by applying a series of hysteresis thresholdings, followed by morphological filtering and cluster splitting. We tested the method on a diverse image data set, yielding the detection performance of slightly over 80 %.

Links

MUNI/A/0945/2015, interní kód MU

Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace V.

Investor: Masaryk University, Category A

MUNI/M/1050/2013, interní kód MU

Name: Automatizovaná analýza elektronmikroskopických snímků pro použití v biologii a medicíně (Acronym: Analýza TEM snímků)

Investor: Masaryk University, INTERDISCIPLINARY - Interdisciplinary research projects

Citovat

ŠTĚPKA, Karel, Martin MAŠKA, Jakub Jozef PÁLENIK, Vendula POSPÍCHALOVÁ, Anna KOTRBOVÁ, Ladislav ILKOVICS, Dobromila KLEMOVÁ, Aleš HAMPL, Vítězslav BRYJA and Pavel MATULA. Automatic Detection and Segmentation of Exosomes in Transmission Electron Microscopy. In Gang Hua, Hervé Jégou. Computer Vision -- ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I. Cham, Switzerland: Springer International Publishing, 2016, p. 318-325. ISBN 978-3-319-46603-3. Available from: https://dx.doi.org/10.1007/978-3-319-46604-0_23.

@inproceedings{1359762,
   author = {Štěpka, Karel and Maška, Martin and Pálenik, Jakub Jozef and Pospíchalová, Vendula and Kotrbová, Anna and Ilkovics, Ladislav and Klemová, Dobromila and Hampl, Aleš and Bryja, Vítězslav and Matula, Pavel},
   address = {Cham, Switzerland},
   booktitle = {Computer Vision -- ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I},
   doi = {http://dx.doi.org/10.1007/978-3-319-46604-0_23},
   editor = {Gang Hua, Hervé Jégou},
   keywords = {Exosome; Detection; Segmentation; Transmission electron microscopy; Image processing},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Cham, Switzerland},
   isbn = {978-3-319-46603-3},
   pages = {318-325},
   publisher = {Springer International Publishing},
   title = {Automatic Detection and Segmentation of Exosomes in Transmission Electron Microscopy},
   url = {http://dx.doi.org/10.1007/978-3-319-46604-0_23},
   year = {2016}
}

TY  - JOUR
ID  - 1359762
AU  - Štěpka, Karel - Maška, Martin - Pálenik, Jakub Jozef - Pospíchalová, Vendula - Kotrbová, Anna - Ilkovics, Ladislav - Klemová, Dobromila - Hampl, Aleš - Bryja, Vítězslav - Matula, Pavel
PY  - 2016
TI  - Automatic Detection and Segmentation of Exosomes in Transmission Electron Microscopy
PB  - Springer International Publishing
CY  - Cham, Switzerland
SN  - 9783319466033
KW  - Exosome
KW  - Detection
KW  - Segmentation
KW  - Transmission electron microscopy
KW  - Image processing
UR  - http://dx.doi.org/10.1007/978-3-319-46604-0_23
L2  - http://dx.doi.org/10.1007/978-3-319-46604-0_23
N2  - We presented a morphological method for automatic detection and segmentation of exosomes in transmission electron microscopy images. The exosome segmentation was carried out using morphological seeded watershed on gradient magnitude image, with the seeds established by applying a series of hysteresis thresholdings, followed by morphological filtering and cluster splitting. We tested the method on a diverse image data set, yielding the detection performance of slightly over 80 %.
ER  -

ŠTĚPKA, Karel, Martin MAŠKA, Jakub Jozef PÁLENIK, Vendula POSPÍCHALOVÁ, Anna KOTRBOVÁ, Ladislav ILKOVICS, Dobromila KLEMOVÁ, Aleš HAMPL, Vítězslav BRYJA and Pavel MATULA. Automatic Detection and Segmentation of Exosomes in Transmission Electron Microscopy. In Gang Hua, Hervé Jégou. \textit{Computer Vision -- ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I}. Cham, Switzerland: Springer International Publishing, 2016, p.~318-325. ISBN~978-3-319-46603-3. Available from: https://dx.doi.org/10.1007/978-3-319-46604-0\_{}23.

Detailed Information on Publication Record