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    Temporal Deep Learning Classification of Digital Hologram Reconstructions of Multicellular Samples


    Pitkäaho, Tomi and Manninen, Aki and Naughton, Thomas J. (2018) Temporal Deep Learning Classification of Digital Hologram Reconstructions of Multicellular Samples. In: Biophotonics Congress: Biomedical Optics Congress 2018, 2018.

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    Abstract

    Digital holographic microscopy allows label-free capture of the full wavefront of light from an object using a low intensity laser. Using numerical reconstructions as an input to deep convolutional neural networks, detection of tumorigenic samples is feasible.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Temporal deep learning classification; digital hologram; reconstructions; multicellular samples;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15592
    Identification Number: https://doi.org/10.1364/TRANSLATIONAL.2018.JW3A.14
    Depositing User: Thomas Naughton
    Date Deposited: 28 Feb 2022 15:36
    Refereed: Yes
    URI:

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