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Author Kavak, S.; Kadu, A.A.; Claes, N.; Sánchez-Iglesias, A.; Liz-Marzán, L.M.; Batenburg, K.J.; Bals, S.
  Title Quantitative 3D Investigation of Nanoparticle Assemblies by Volumetric Segmentation of Electron Tomography Data Sets Type (up) A1 Journal article
  Year 2023 Publication The journal of physical chemistry: C : nanomaterials and interfaces Abbreviated Journal
  Volume 127 Issue 20 Pages 9725-9734
  Keywords A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT)
  Abstract Morphological characterization of nanoparticle assemblies and hybrid nanomaterials is critical in determining their structure-property relationships as well as in the development of structures with desired properties. Electron tomography has become a widely utilized technique for the three-dimensional characterization of nanoparticle assemblies. However, the extraction of quantitative morphological parameters from the reconstructed volume can be a complex and labor-intensive task. In this study, we aim to overcome this challenge by automating the volumetric segmentation process applied to three-dimensional reconstructions of nanoparticle assemblies. The key to enabling automated characterization is to assess the performance of different volumetric segmentation methods in accurately extracting predefined quantitative descriptors for morphological characterization. In our methodology, we compare the quantitative descriptors obtained through manual segmentation with those obtained through automated segmentation methods, to evaluate their accuracy and effectiveness. To show generality, our study focuses on the characterization of assemblies of CdSe/CdS quantum dots, gold nanospheres and CdSe/CdS encapsulated in polymeric micelles, and silica-coated gold nanorods decorated with both CdSe/CdS or PbS quantum dots. We use two unsupervised segmentation algorithms: the watershed transform and the spherical Hough transform. Our results demonstrate that the choice of automated segmentation method is crucial for accurately extracting the predefined quantitative descriptors. Specifically, the spherical Hough transform exhibits superior performance in accurately extracting quantitative descriptors, such as particle size and interparticle distance, thereby allowing for an objective, efficient, and reliable volumetric segmentation of complex nanoparticle assemblies.
  Address
  Corporate Author Thesis
  Publisher Place of Publication Editor
  Language Wos 000991752700001 Publication Date 2023-05-25
  Series Editor Series Title Abbreviated Series Title
  Series Volume Series Issue Edition
  ISSN 1932-7447 ISBN Additional Links UA library record; WoS full record; WoS citing articles
  Impact Factor 3.7 Times cited 2 Open Access OpenAccess
  Notes Fonds Wetenschappelijk Onderzoek, 1181122N ; Horizon 2020 Framework Programme, 861950 ; H2020 European Research Council, 815128 ; Approved Most recent IF: 3.7; 2023 IF: 4.536
  Call Number EMAT @ emat @c:irua:196971 Serial 8793
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Author Batenburg, K.J.; Bals, S.; Sijbers, J.; Van Tendeloo, G.
  Title DART explained: how to carry out a discrete tomography reconstruction Type (up) P1 Proceeding
  Year 2008 Publication Abbreviated Journal
  Volume Issue Pages 295-296
  Keywords P1 Proceeding; Electron microscopy for materials research (EMAT); Vision lab
  Abstract
  Address
  Corporate Author Thesis
  Publisher Springer Place of Publication Berlin Editor
  Language Wos Publication Date 0000-00-00
  Series Editor Series Title Abbreviated Series Title
  Series Volume Series Issue Edition
  ISSN 978-3-540-85154-7 ISBN Additional Links UA library record
  Impact Factor Times cited Open Access
  Notes Approved Most recent IF: NA
  Call Number UA @ lucian @ c:irua:77914 Serial 606
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Author Van Eyndhoven, G.; Batenburg, K.J.; van Oers, C.; Kurttepeli, M.; Bals, S.; Cool, P.; Sijbers, J.
  Title Reliable pore-size measurements based on a procedure specifically designed for electron tomography measurements of nanoporous samples Type (up) P3 Proceeding
  Year 2014 Publication Abbreviated Journal
  Volume Issue Pages
  Keywords P3 Proceeding; Electron microscopy for materials research (EMAT); Vision lab; Laboratory of adsorption and catalysis (LADCA)
  Abstract
  Address
  Corporate Author Thesis
  Publisher Place of Publication S.l. Editor
  Language Wos Publication Date 0000-00-00
  Series Editor Series Title Abbreviated Series Title
  Series Volume Series Issue Edition
  ISSN ISBN Additional Links UA library record
  Impact Factor Times cited Open Access
  Notes Approved Most recent IF: NA
  Call Number UA @ lucian @ c:irua:124548 Serial 2866
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