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: | |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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