Dataset
Automated Morphological Classification and Quantification of Cerebrospinal Fluid Extracellular Vesicles via AFM and Machine Learning
Faculty of Medicine, 2024. urn:nbn:hr:184:359174
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)
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Cite this document

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. 25 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 25 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 25] 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 25, 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
AuthorMladenka Malenica
University of Rijeka, Faculty of Medicine
AuthorMarko Perčić
Sveučilište u Rijeci, Tehnički fakultet
AuthorVera Tomas
Clinical Hospital Center Rijeka
AuthorIvan Štajduhar
Sveučilište u Rijeci, Tehnički fakultet
AuthorMario Kurtjak
Institute Jožef Stefan, Slovenia
CollaboratorHrvoje Križan (Researcher)
University of Rijeka, Faculty of Medicine
CollaboratorLara Saftić Martinović (Researcher)
University of Rijeka, Faculty of Medicine
CollaboratorFabijan (Researcher)
Institute Jožef Stefan
CollaboratorMarin Tota (Researcher)
University of Rijeka, Faculty of Medicine
CollaboratorJanja Tarčuković (Researcher)
Clinical Hospital Center Rijeka
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Basic Medical Sciences
Medical Biochemistry
Methods (english)Size-exclusion chromatography, AFM, Gwyddion, western blot, dynamic light scattering, machine learning
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:184:359174
Publication2024-10-25
Collected2022
GeolocationPula, Rijeka, Croatia
ProjectNumber: 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
ProjectNumber: UNIRI INOVA 170-57-07-22-4
Title (english): Extracellular vesicles as diagnostic nanotools in translational medicine
Acronym: nanoEV
Leader: Mladenka Malenica
Jurisdiction: Croatia
ProjectNumber: 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
PublisherMedicinski fakultet
Faculty of Medicine
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-25 06:48:32