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Citation - Scopus: 2
Yara İyileşmesi Mikroskopi Görüntü Serilerinin Otomatik Analizi - Bir Ön-çalışma
(IEEE, 2020) Mayalı, Berkay; Şaylığ, Orkun; Yalçın Özuysal, Özden; Pesen Okvur, Devrim; Töreyin, Behçet Uğur; Ünay, Devrim
Collective cell analysis from microscopy image series is important for wound healing research. Computer-based automation of such analyses may help in rapid acquisition of reliable and reproducible results. In this study phase -contrast optical microscopy image series of an in-vitro wound healing essay is manually delineated by two experts and its analysis is realized, traditional image processing and deep learning based approaches for automated segmentation of wound area are developed and their perlOrmance comparisons are carried out.
Citation - WoS: 3
Citation - Scopus: 5
Image Processing Based Stiffness Mapping of a Haptic Device
(Springer, 2017) Taner, Barış; Dede, Mehmet İsmet Can
The widely accepted performance criteria of haptic devices, which are transparency and z-width, are affected by the stiffness characteristics of the haptic device’s mechanism. In addition indirect measurement of the handle pose of a haptic device is also affected by the stiffness characteristic. In this study, image processing techniques are used in the experimental setup to develop a stiffness map of a haptic device. The experimentally developed stiffness map is presented and the results are discussed by addressing future works.

WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection