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A multistage, semi-automated procedure for analyzing the morphology of nanoparticles

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Listed:
  • Chiwoo Park
  • Jianhua Huang
  • David Huitink
  • Subrata Kundu
  • Bani Mallick
  • Hong Liang
  • Yu Ding

Abstract

This article presents a multistage, semi-automated procedure that can expedite the morphology analysis of nanoparticles. Material scientists have long conjectured that the morphology of nanoparticles has a profound impact on the properties of the hosting material, but a bottleneck is the lack of a reliable and automated morphology analysis of the particles based on their image measurements. This article attempts to fill in this critical void. One particular challenge in nanomorphology analysis is how to analyze the overlapped nanoparticles, a problem not well addressed by the existing methods but effectively tackled by the method proposed in this article. This method entails multiple stages of operations, executed sequentially, and is considered semi-automated due to the inclusion of a semi-supervised clustering step. The proposed method is applied to several images of nanoparticles, producing the needed statistical characterization of their morphology.

Suggested Citation

  • Chiwoo Park & Jianhua Huang & David Huitink & Subrata Kundu & Bani Mallick & Hong Liang & Yu Ding, 2012. "A multistage, semi-automated procedure for analyzing the morphology of nanoparticles," IISE Transactions, Taylor & Francis Journals, vol. 44(7), pages 507-522.
    • Handle: RePEc:taf:uiiexx:v:44:y:2012:i:7:p:507-522
    DOI: 10.1080/0740817X.2011.587867
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    Cited by:

    1. Yanjun Qian & Jianhua Z. Huang & Yu Ding, 2017. "Identifying multi-stage nanocrystal growth using in situ TEM video data," IISE Transactions, Taylor & Francis Journals, vol. 49(5), pages 532-543, May.
    2. Alexander E. Siemenn & Eunice Aissi & Fang Sheng & Armi Tiihonen & Hamide Kavak & Basita Das & Tonio Buonassisi, 2024. "Using scalable computer vision to automate high-throughput semiconductor characterization," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

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