ENDIS-RISKS
Endocrine Disruption in the Scheldt estuary:
distribution, exposure and effects
home login contact pictures
 

planning background results databases partners users
ENDIS-RISKS Metadata Database
List all

By choosing an item from the pick list, you can list all the projects, persons, institutes, conferences and literature in the database.
More items, e.g. 'cruises' and 'samples' will be available soon.

  
[ meld een fout in dit record ]mandje (0): toevoegen | toon Print deze pagina

Detection and identification of microplastics in biota using Nile red and machine learning: validation of an innovative, cost-effective approach
Meyers, N.; De Witte, B.; Everaert, G.; Hostens, K.; Janssen, C. (2022). Detection and identification of microplastics in biota using Nile red and machine learning: validation of an innovative, cost-effective approach, in: Mees, J. et al. Book of abstracts – VLIZ Marine Science Day, Online event 2 March 2022. VLIZ Special Publication, 88: pp. 20-21
In: Mees, J.; Seys, J. (Ed.) (2022). Book of abstracts – VLIZ Marine Science Day, Online event 2 March 2022. VLIZ Special Publication, 88. Vlaams Instituut voor de Zee - Flanders Marine Institute (VLIZ): Oostende. v, 91 pp. https://dx.doi.org/10.48470/24
In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950

Beschikbaar in  Auteurs 
Documenttype: Samenvatting

Trefwoord
    Marien/Kust
Author keywords
    Microplastics detection; Polymer identification; Machine learning; Nile red; RGB colouration

Auteurs  Top 
  • Meyers, N.
  • De Witte, B.
  • Everaert, G.
  • Hostens, K.
  • Janssen, C., meer

Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs