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

Tools

Cardona, Javier and Ferreira, Carla and McGinty, John and Hamilton, Andrew and Agimelen, Okpeafoh S. and Cleary, Alison and Atkinson, Robert and Michie, Craig and Marshall, Stephen and Chen, Yi-Chieh and Sefcik, Jan and Andonovic, Ivan and Tachtatzis, Christos (2018) Image analysis framework with focus evaluation for in situ characterisation of particle size and shape attributes. Chemical Engineering Science, 191. pp. 208-231. ISSN 0009-2509 (https://doi.org/10.1016/j.ces.2018.06.067)

[thumbnail of Cardona-etal-CES-2018-Image-analysis-framework-with-focus-evaluation-for-in-situ-characterisation-of-particle-size]
Preview
 Text. Filename: Cardona_etal_CES_2018_Image_analysis_framework_with_focus_evaluation_for_in_situ_characterisation_of_particle_size.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (5MB)| Preview

Abstract

Particle processing industries, such as pharmaceutical, food processing and consumer goods sectors, increasingly require strategies to control and engineer particle attributes. In both traditional batch and continuous processes, particle size and shape need to be effectively monitored through in-line measurements from Process Analytical Technologies. However, obtaining quantitative information from these measurements has proven to be challenging and in-line imaging techniques are primarily used for qualitative purposes. Two key challenges are: (1) the presence of out-of-focus objects and (2) images only represent 2D projections of three-dimensional objects. In this work, a novel framework to process frames from in-line imaging probes incorporates a focus evaluation step in order to extract meaningful quantitative shape and size information through rejection of out-of-focus particles. Furthermore, a model is proposed that simulates the 2D projection of three-dimensional particles onto the focal plane and computes the corresponding size and shape distributions. The framework is quantified and evaluated against standard particles of well-defined size and shape such as polystyrene microspheres and needle-like cuboid silicon particles.

ORCID iDs

Cardona, Javier ORCID logoORCID: https://orcid.org/0000-0002-9284-1899, Ferreira, Carla ORCID logoORCID: https://orcid.org/0000-0002-0592-8540, McGinty, John ORCID logoORCID: https://orcid.org/0000-0002-8166-7266, Hamilton, Andrew ORCID logoORCID: https://orcid.org/0000-0002-8436-8325, Agimelen, Okpeafoh S. ORCID logoORCID: https://orcid.org/0000-0002-0844-965X, Cleary, Alison ORCID logoORCID: https://orcid.org/0000-0002-3717-9812, Atkinson, Robert ORCID logoORCID: https://orcid.org/0000-0002-6206-2229, Michie, Craig ORCID logoORCID: https://orcid.org/0000-0001-5132-4572, Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628, Chen, Yi-Chieh ORCID logoORCID: https://orcid.org/0000-0002-8307-0666, Sefcik, Jan ORCID logoORCID: https://orcid.org/0000-0002-7181-5122, Andonovic, Ivan ORCID logoORCID: https://orcid.org/0000-0001-9093-5245 and Tachtatzis, Christos ORCID logoORCID: https://orcid.org/0000-0001-9150-6805;
CORE (COnnecting REpositories)