Holographic imaging and machine learning for microplastic size and shape analysis in water
| dc.contributor.author | Abimbola, Ismaila | |
| dc.contributor.author | Thevar, Thangavel | |
| dc.contributor.author | McAfee, Marion | |
| dc.contributor.author | Creedon, Leo | |
| dc.contributor.author | Khosravi, Hanieh | |
| dc.contributor.author | Gharbia, Salem | |
| dc.contributor.institution | University of Aberdeen.Engineering | en |
| dc.date.accessioned | 2025-09-11T09:50:01Z | |
| dc.date.issued | 2025-12 | |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 12 | |
| dc.format.extent | 4639808 | |
| dc.identifier | 308437878 | |
| dc.identifier | 653ad18e-fc1a-4c9f-84d1-23620f6db63c | |
| dc.identifier | 105014651985 | |
| dc.identifier.citation | Abimbola, I, Thevar, T, McAfee, M, Creedon, L, Khosravi, H & Gharbia, S 2025, 'Holographic imaging and machine learning for microplastic size and shape analysis in water', Emerging Contaminants, vol. 11, no. 4, 100558. https://doi.org/10.1016/j.emcon.2025.100558 | en |
| dc.identifier.doi | 10.1016/j.emcon.2025.100558 | |
| dc.identifier.iss | 4 | en |
| dc.identifier.issn | 2405-6650 | |
| dc.identifier.other | RIS: urn:41516C10D1E4296332BC00F363ED1737 | |
| dc.identifier.uri | https://hdl.handle.net/2164/25986 | |
| dc.identifier.vol | 11 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Emerging Contaminants | en |
| dc.subject | SDG 3 - Good Health and Well-being | en |
| dc.subject | Microplastics | en |
| dc.subject | Water | en |
| dc.subject | Digital holography | en |
| dc.subject | Size | en |
| dc.subject | Shape | en |
| dc.subject | Deep learning | en |
| dc.subject | TP Chemical technology | en |
| dc.subject | Supplementary Data | en |
| dc.subject | DAS | en |
| dc.subject.lcc | TP | en |
| dc.title | Holographic imaging and machine learning for microplastic size and shape analysis in water | en |
| dc.type | Journal article | en |
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