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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