Data for: "Image analysis framework with focus evaluation for in situ characterisation of particle size and shape attributes" (sample)

Dataset

Description

This dataset contains a set of in-line microscopy images analysed in the manuscript "Image analysis framework with focus evaluation for in situ characterisation of particle size and shape attributes". The Particle Vision and Measurement (PVM) images were captured by the PVM V819 probe for two different materials:
- standard polystyrene microspheres of 150, 300, 400 and 500 microns at solid loadings ranging from 1 to 5 wt.%.
- standard silicon particles of elongated shape of 20x20x160, 20x20x60, and 20x20x20 microns.

The dataset available for download on this site is a sample of the complete dataset containing 100 images for each experimental condition. The complete dataset is freely available. However, due to its size, approximately 28 TB uncompressed, access should be requested using the contact email provided on this page.
Date made available22 Mar 2018
PublisherUniversity of Strathclyde
Date of data productionSep 2016 - Aug 2017
Contact

Access Dataset

  • PVM_data.zip

    File: multipart/x-zip, 1.88 GB

    Type: Dataset

    Licence: CC BY 4.0

  • README.txt

    File: text/plain, 1.06 KB

    Type: Text

    Licence: CC BY 4.0

Research Output

  • 1 Conference contribution book
  • 1 Poster
  • 1 Article

Image analysis framework with focus evaluation for in situ characterisation of particle size and shape attributes

Cardona, J., Ferreira, C., McGinty, J., Hamilton, A., Agimelen, O. S., Cleary, A., Atkinson, R., Michie, C., Marshall, S., Chen, Y-C., Sefcik, J., Andonovic, I. & Tachtatzis, C., 14 Dec 2018, In : Chemical Engineering Science . 191, p. 208-231 24 p.

Research output: Contribution to journal › Article

Open Access
File
    • 13 Citations (Scopus)
    35 Downloads (Pure)

    The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry

    Cardona, J., Ferreira, C., Svoboda, V., Ahmed, B., McGinty, J., Agimelen, O. S., Hamilton, A., Cleary, A., Atkinson, R., Michie, C., Marshall, S., Florence, A. J., Chen, Y-C., Sefcik, J., Andonovic, I. & Tachtatzis, C., 11 Sep 2018, Advances in manufacturing technology XXXII: proceedings of the 16th International Conference on Manufacturing Research. Thorvald, P. & Case, K. (eds.). Netherlands: IOS Press, p. 27-32 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

    Open Access
    File
    • 20 Downloads (Pure)

    In-line monitoring of particle size and shape from image-based measurements

    Cardona, J., Ferreira, C., McGinty, J., Hamilton, A., Agimelen, O. S., Cleary, A., Chen, Y. C., Sefcik, J., Michie, C., Atkinson, R., Andonovic, I. & Tachtatzis, C., 3 Sep 2017. 2 p.

    Research output: Contribution to conference › Poster

    Open Access
    File

    • Projects

    Intelligent Decision Support Technologies for Continuous Manufacture

    Andonovic, I., Bititci, U., Florence, A., Gachagan, A., Johnston, B., Marshall, S., Michie, C., Mulholland, A., Nordon, A., Sefcik, J. & Vasile, M.

    AstraZeneca UK Limited, Glaxo Smithkline (UK), EPSRC (Engineering and Physical Sciences Research Council), Novartis Pharma AG, Bayer Healthcare AG

    1/02/13 → 31/07/18

    Project: Research

    • Datasets

    ImagingApp: image analysis framework for particle size and shape characterisation

    Cardona Amengual, J. (Creator), Tachtatzis, C. (Creator), University of Strathclyde, 28 Mar 2018

    DOI: 10.15129/99c4558f-f59e-4be8-80e2-b0425178332b

    Dataset

    Cite this

    Cardona Amengual, J. (Creator), Ferreira, C. S. (Data Collector), McGinty, J. (Data Collector), Hamilton, A. (Contributor), Agimelen, O. (Contributor), Cleary, A. (Contributor), Atkinson, R. (Supervisor), Michie, W. (Supervisor), Chen, Y. (Supervisor), Sefcik, J. (Supervisor), Andonovic, I. (Supervisor), Tachtatzis, C. (Contributor) (22 Mar 2018). Data for: "Image analysis framework with focus evaluation for in situ characterisation of particle size and shape attributes" (sample). University of Strathclyde. PVM_data(.zip), README(.txt). 10.15129/b38fa44b-8d12-46ff-ae59-d6b31e6602a0