Automatic Detection and Segmentation of Exosomes in Transmission Electron Microscopy

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Authors	ŠTĚPKA Karel MAŠKA Martin PÁLENIK Jakub Jozef POSPÍCHALOVÁ Vendula KOTRBOVÁ Anna ILKOVICS Ladislav KLEMOVÁ Dobromila HAMPL Aleš BRYJA Vítězslav MATULA Pavel
Year of publication	2016
Type	Article in Proceedings
Conference	Computer Vision -- ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I
MU Faculty or unit	Faculty of Informatics
Citation
Web	http://dx.doi.org/10.1007/978-3-319-46604-0_23
Doi	http://dx.doi.org/10.1007/978-3-319-46604-0_23
Field	Informatics
Keywords	Exosome; Detection; Segmentation; Transmission electron microscopy; Image processing
Description	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 %.
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