Unsupervised feature learning and clustering of particles imaged in raw holograms using an autoencoder
| dc.contributor.author | Liu, Zonghua | |
| dc.contributor.author | Thevar, Thangavel | |
| dc.contributor.author | Takahashi, Tomoko | |
| dc.contributor.author | Burns, Nicholas | |
| dc.contributor.author | Yamada, Takaki | |
| dc.contributor.author | Sangekar, Mehul | |
| dc.contributor.author | Lindsay, Dhugal | |
| dc.contributor.author | Watson, John | |
| dc.contributor.author | Thornton, Blair | |
| dc.contributor.institution | University of Aberdeen.Engineering | en |
| dc.date.accessioned | 2022-09-26T23:12:50Z | |
| dc.date.available | 2022-09-26T23:12:50Z | |
| dc.date.embargoedUntil | 2022-09-27 | |
| dc.date.issued | 2021-10-01 | |
| dc.description | Acknowledgment. This work is funded by a joint UK-Japan research program (NERC-JST SICORP Marine Sensor Proof of Concept under project code NE/R01227X/1). | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 11 | |
| dc.format.extent | 4725129 | |
| dc.identifier | 208025981 | |
| dc.identifier | 20bb3d3a-62b3-4c54-a3b4-4dc3e06694d8 | |
| dc.identifier | 85116346519 | |
| dc.identifier | 34612985 | |
| dc.identifier | 000704986400003 | |
| dc.identifier.citation | Liu, Z, Thevar, T, Takahashi, T, Burns, N, Yamada, T, Sangekar, M, Lindsay, D, Watson, J & Thornton, B 2021, 'Unsupervised feature learning and clustering of particles imaged in raw holograms using an autoencoder', Journal of the Optical Society of America A: Optics and Image Science, and Vision, vol. 38, no. 10, pp. 1570-1580. https://doi.org/10.1364/JOSAA.424271 | en |
| dc.identifier.doi | 10.1364/JOSAA.424271 | |
| dc.identifier.iss | 10 | en |
| dc.identifier.issn | 1084-7529 | |
| dc.identifier.uri | https://hdl.handle.net/2164/19226 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85116346519&partnerID=8YFLogxK | en |
| dc.identifier.vol | 38 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of the Optical Society of America A: Optics and Image Science, and Vision | en |
| dc.subject | TA Engineering (General). Civil engineering (General) | en |
| dc.subject | Electronic, Optical and Magnetic Materials | en |
| dc.subject | Atomic and Molecular Physics, and Optics | en |
| dc.subject | Computer Vision and Pattern Recognition | en |
| dc.subject | Natural Environment Research Council (NERC) | en |
| dc.subject | NE/R01227X/1 | en |
| dc.subject.lcc | TA | en |
| dc.title | Unsupervised feature learning and clustering of particles imaged in raw holograms using an autoencoder | en |
| dc.type | Journal article | en |
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