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 %.
['Karel Štěpka', 'Martin Maška', 'Jakub Páleník', 'Vendula Pospichalova', 'Anna Kotrbová', 'Ladislav Ilkovics', 'Dobromila Klemová', 'Aleš Hampl', 'Vítězslav Bryja', 'Pavel Matula']
Automatic Detection and Segmentation of Exosomes in Transmission Electron Microscopy