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      Decoding sEV-Mediated Metastasis in Organoid-on-a-Chip Models: Advancing from Static to Dynamic Imaging

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            Abstract

            Content

            Author and article information

            Conference
            21 January 2025
            : e188
            Affiliations
            [1 ]School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW, Australia
            [2 ]School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia
            [3 ]School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
            [4 ]Australian Institute of Microbiology and Infection, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
            [5 ]UMR 7057 CNRS Matter and Complex Systems, Université Paris Cité, Paris, France
            Author notes
            *Corresponding author: Majid.warkiani@ 123456uts.edu.au
            Author information
            https://orcid.org/0000-0002-4184-1944
            Article
            10.14293/APMC13-2025-0188
            70786ef3-bf40-4442-a990-672cd739e81a
            2025 The Authors.

            Published under Creative Commons Attribution 4.0 International ( CC BY 4.0). Users are allowed to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material for any purpose, even commercially), as long as the authors and the publisher are explicitly identified and properly acknowledged as the original source.

            13th Asia Pacific Microscopy Congress 2025
            APMC13
            13
            Brisbane, Australia
            2-7 Febuary 2025
            History
            Categories
            BLS07 - Diseases & Diagnosis & Treatments

            Microphysiological Systems,Cancer Metastasis Models,Small Extracellular Vesicles(sEVs),Time-Lapse Imaging,Organoids

            References

            1. Bianchini, G., et al., Treatment landscape of triple-negative breast cancer—Expanded options, evolving needs. Nature reviews Clinical oncology, 2022. 19(2): p. 91-113.

            2. Peel, S. and M. Jackman, Imaging microphysiological systems: A review. American Journal of Physiology-Cell Physiology, 2021. 320(5): p. C669-C680.

            3. Nazari, H., et al., Impact of Brain Organoid-Derived sEVs on Metastatic Adaptation and Invasion of Breast Carcinoma Cells through a Microphysiological System. Lab on a Chip, 2024.

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