Malenica, Mladenka; Perčić, Marko; Tomas, Vera; Štajduhar, Ivan; Kurtjak, Mario
Dataset
Dataset: raw_tomas_dabar.zip, 653.54 MB Access Condition: Embargo period 2024-10-25 Description: AFM images, excel files, western blot images, data for ML, DLS data for size distribution and zeta potential (English)
Malenica, M., Perčić, M., Tomas, V., Štajduhar, I. & Kurtjak, M. (2024). Automated Morphological Classification and Quantification of Cerebrospinal Fluid Extracellular Vesicles via AFM and Machine Learning [Data set]. https://urn.nsk.hr/urn:nbn:hr:184:359174.
Malenica, Mladenka, et al. Automated Morphological Classification and Quantification of Cerebrospinal Fluid Extracellular Vesicles via AFM and Machine Learning. Medicinski fakultet, 2024. 23 Dec 2024. https://urn.nsk.hr/urn:nbn:hr:184:359174.
Malenica, Mladenka, Marko Perčić, Vera Tomas, Ivan Štajduhar, and Mario Kurtjak. 2024. Automated Morphological Classification and Quantification of Cerebrospinal Fluid Extracellular Vesicles via AFM and Machine Learning. Medicinski fakultet. https://urn.nsk.hr/urn:nbn:hr:184:359174.
Malenica, M., et al. 2024. Automated Morphological Classification and Quantification of Cerebrospinal Fluid Extracellular Vesicles via AFM and Machine Learning. Medicinski fakultet. [Online]. [Accessed 23 December 2024]. Available from: https://urn.nsk.hr/urn:nbn:hr:184:359174.
Malenica M, Perčić M, Tomas V, Štajduhar I, Kurtjak M. Automated Morphological Classification and Quantification of Cerebrospinal Fluid Extracellular Vesicles via AFM and Machine Learning. [Internet]. Medicinski fakultet: Pula, Rijeka, HR; 2024, [cited 2024 December 23] Available from: https://urn.nsk.hr/urn:nbn:hr:184:359174.
M. Malenica, M. Perčić, V. Tomas, I. Štajduhar and M. Kurtjak, Automated Morphological Classification and Quantification of Cerebrospinal Fluid Extracellular Vesicles via AFM and Machine Learning, Medicinski fakultet, 2024. Accessed on: Dec 23, 2024. Available: https://urn.nsk.hr/urn:nbn:hr:184:359174.
Title (english)
Automated Morphological Classification and Quantification of Cerebrospinal Fluid Extracellular Vesicles via AFM and Machine Learning
Number: uniri-biomed-18-279 Title (english): Implementation of protocols on the University of Rijeka for nanotechnological methods: atomic-force and scaning electron microscopy for vizualization and characterization of exosomes Leader: Mladenka Malenica Jurisdiction: Croatia
Project
Number: UNIRI INOVA 170-57-07-22-4 Title (english): Extracellular vesicles as diagnostic nanotools in translational medicine Acronym: nanoEV Leader: Mladenka Malenica Jurisdiction: Croatia
Project
Number: uniri-iskusni-biomed-23-169 Title (english): Glycan profile of extracellular vesicles for human brain states monitoring caused by traumatic brain injury Leader: Mladenka Malenica Jurisdiction: Croatia