Microscopy-Assisted Digital Image Analysis with Trainable Weka Segmentation (TWS) for Emulsion Droplet Size Determination

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dc.authoridAydemir, Levent Yurdaer/0000-0003-0372-1172
dc.authoridGuven, Onur/0000-0002-5267-9153
dc.authoridSalum, Pelin/0000-0002-8390-5483
dc.authoridErbay, Zafer/0000-0003-3125-6466
dc.contributor.authorSalum, Pelin
dc.contributor.authorGuven, Onur
dc.contributor.authorAydemir, Levent Yurdaer
dc.contributor.authorErbay, Zafer
dc.date.accessioned2025-01-06T17:37:37Z
dc.date.available2025-01-06T17:37:37Z
dc.date.issued2022
dc.description.abstractThe size distribution of droplets in emulsions is very important for adjusting the effects of many indices on their quality. In addition to other methods for the determination of the size distribution of droplets, the usage of machine learning during microscopic analyses can enhance the reliability of the measurements and decrease the measurement cost at the same time. Considering its role in emulsion characteristics, in this study, the droplet size distributions of emulsions prepared with different oil/water phase ratios and homogenization times were measured with both a microscopy-assisted digital image analysis technique and a well-known laser diffraction method. The relationships between the droplet size and the physical properties of emulsions (turbidity and viscosity) were also investigated. The results showed that microscopic measurements yielded slightly higher values for the D(90), D[3,2], and D[4,3] of emulsions compared to the laser diffraction method for all oil/water phase ratios. When using this method, the droplet size had a meaningful correlation with the turbidity and viscosity values of emulsions at different oil/water phase ratios. From this point of view, the usage of the optical microscopy method with machine learning can be useful for the determination of the size distribution in emulsions.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [120O763]
dc.description.sponsorshipThis work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) (Grant No. 120O763). The authors are also grateful to Croda for providing the emulsifiers.
dc.identifier.doi10.3390/coatings12030364
dc.identifier.issn2079-6412
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85126622623
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.3390/coatings12030364
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2304
dc.identifier.volume12
dc.identifier.wosWOS:000775672600001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofCoatings
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectemulsion
dc.subjectdroplet size
dc.subjectmicroscopy-assisted
dc.subjectimage analysis
dc.subjectlaser diffraction
dc.subjectturbidity
dc.subjectviscosity
dc.titleMicroscopy-Assisted Digital Image Analysis with Trainable Weka Segmentation (TWS) for Emulsion Droplet Size Determination
dc.typeArticle

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