Abstract

In recent years, the pharmaceutical industry is seeing a movement towards the implementation of more efficient continuous manufacturing. This shift requires the development of in-line process analytical technologies to monitor and control the process at any given time. However, extracting reliable information from these sensors is a challenge. Among the available technologies, in-line image analysis is quickly gaining importance. This work presents an image analysis framework developed to address one of the main challenges of in-line image analysis: the presence of out-of-focus particles. Through two relevant examples such as the characterisation of a system of microparticles of mixed shapes and the monitoring of a common operation in the pharmaceutical industry such as the wet milling process, the benefits of incorporating this technique are assessed. The realtime analysis of imaging data in combination with other simultaneously-acquired quantitative data streams enables the user to make informed decisions and implement enhanced control strategies.
LanguageEnglish
Title of host publicationAdvances in manufacturing technology XXXII
Subtitle of host publicationproceedings of the 16th International Conference on Manufacturing Research
EditorsPeter Thorvald, Keith Case
Place of PublicationNetherlands
Pages27-32
Number of pages6
DOIs
Publication statusPublished - 11 Sep 2018
EventInternational Conference on Manufacturing Research - Skövde, Sweden
Duration: 11 Sep 201813 Sep 2018

Conference

ConferenceInternational Conference on Manufacturing Research
Abbreviated titleICMR '18
CountrySweden
City Skövde
Period11/09/1813/09/18

Fingerprint

Drug Industry
Drug products
Image analysis
Technology
Pharmaceutical Preparations
Industry
Imaging techniques
Monitoring
Sensors

Keywords

  • continuous manufacturing
  • digitisation
  • in-line imaging

Cite this

Cardona, J., Ferreira, C., Svoboda, V., Ahmed, B., McGinty, J., Agimelen, O. S., ... Tachtatzis, C. (2018). The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry. In P. Thorvald, & K. Case (Eds.), Advances in manufacturing technology XXXII: proceedings of the 16th International Conference on Manufacturing Research (pp. 27-32). Netherlands. https://doi.org/10.3233/978-1-61499-902-7-27
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title = "The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry",
abstract = "In recent years, the pharmaceutical industry is seeing a movement towards the implementation of more efficient continuous manufacturing. This shift requires the development of in-line process analytical technologies to monitor and control the process at any given time. However, extracting reliable information from these sensors is a challenge. Among the available technologies, in-line image analysis is quickly gaining importance. This work presents an image analysis framework developed to address one of the main challenges of in-line image analysis: the presence of out-of-focus particles. Through two relevant examples such as the characterisation of a system of microparticles of mixed shapes and the monitoring of a common operation in the pharmaceutical industry such as the wet milling process, the benefits of incorporating this technique are assessed. The realtime analysis of imaging data in combination with other simultaneously-acquired quantitative data streams enables the user to make informed decisions and implement enhanced control strategies.",
keywords = "continuous manufacturing, digitisation, in-line imaging",
author = "Javier Cardona and Carla Ferreira and Vaclav Svoboda and Bilal Ahmed and John McGinty and Agimelen, {Okpeafoh S.} and Andrew Hamilton and Alison Cleary and Robert Atkinson and Craig Michie and Stephen Marshall and Florence, {Alastair J.} and Yi-Chieh Chen and Jan Sefcik and Ivan Andonovic and Christos Tachtatzis",
note = "Cardona, J., Ferreira, C., Svoboda, V., Ahmed, B., McGinty, J., Agimelen, O. S., ... Tachtatzis, C. (2018). The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry. In P. Thorvald, & K. Case (Eds.), Advances in manufacturing technology XXXII: proceedings of the 16th International Conference on Manufacturing Research (pp. 27-32). Netherlands: IOS Press. https://doi.org/10.3233/978-1-61499-902-7-27, with permission from IOS Press",
year = "2018",
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Cardona, J, Ferreira, C, Svoboda, V, Ahmed, B, McGinty, J, Agimelen, OS, Hamilton, A, Cleary, A, Atkinson, R, Michie, C, Marshall, S, Florence, AJ, Chen, Y-C, Sefcik, J, Andonovic, I & Tachtatzis, C 2018, The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry. in P Thorvald & K Case (eds), Advances in manufacturing technology XXXII: proceedings of the 16th International Conference on Manufacturing Research. Netherlands, pp. 27-32, International Conference on Manufacturing Research, Skövde, Sweden, 11/09/18. https://doi.org/10.3233/978-1-61499-902-7-27

The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry. / Cardona, Javier; Ferreira, Carla; Svoboda, Vaclav; Ahmed, Bilal; McGinty, John; Agimelen, Okpeafoh S.; Hamilton, Andrew; Cleary, Alison; Atkinson, Robert; Michie, Craig; Marshall, Stephen; Florence, Alastair J.; Chen, Yi-Chieh; Sefcik, Jan; Andonovic, Ivan; Tachtatzis, Christos.

Advances in manufacturing technology XXXII: proceedings of the 16th International Conference on Manufacturing Research. ed. / Peter Thorvald; Keith Case. Netherlands, 2018. p. 27-32.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry

AU - Cardona, Javier

AU - Ferreira, Carla

AU - Svoboda, Vaclav

AU - Ahmed, Bilal

AU - McGinty, John

AU - Agimelen, Okpeafoh S.

AU - Hamilton, Andrew

AU - Cleary, Alison

AU - Atkinson, Robert

AU - Michie, Craig

AU - Marshall, Stephen

AU - Florence, Alastair J.

AU - Chen, Yi-Chieh

AU - Sefcik, Jan

AU - Andonovic, Ivan

AU - Tachtatzis, Christos

N1 - Cardona, J., Ferreira, C., Svoboda, V., Ahmed, B., McGinty, J., Agimelen, O. S., ... Tachtatzis, C. (2018). The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry. In P. Thorvald, & K. Case (Eds.), Advances in manufacturing technology XXXII: proceedings of the 16th International Conference on Manufacturing Research (pp. 27-32). Netherlands: IOS Press. https://doi.org/10.3233/978-1-61499-902-7-27, with permission from IOS Press

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N2 - In recent years, the pharmaceutical industry is seeing a movement towards the implementation of more efficient continuous manufacturing. This shift requires the development of in-line process analytical technologies to monitor and control the process at any given time. However, extracting reliable information from these sensors is a challenge. Among the available technologies, in-line image analysis is quickly gaining importance. This work presents an image analysis framework developed to address one of the main challenges of in-line image analysis: the presence of out-of-focus particles. Through two relevant examples such as the characterisation of a system of microparticles of mixed shapes and the monitoring of a common operation in the pharmaceutical industry such as the wet milling process, the benefits of incorporating this technique are assessed. The realtime analysis of imaging data in combination with other simultaneously-acquired quantitative data streams enables the user to make informed decisions and implement enhanced control strategies.

AB - In recent years, the pharmaceutical industry is seeing a movement towards the implementation of more efficient continuous manufacturing. This shift requires the development of in-line process analytical technologies to monitor and control the process at any given time. However, extracting reliable information from these sensors is a challenge. Among the available technologies, in-line image analysis is quickly gaining importance. This work presents an image analysis framework developed to address one of the main challenges of in-line image analysis: the presence of out-of-focus particles. Through two relevant examples such as the characterisation of a system of microparticles of mixed shapes and the monitoring of a common operation in the pharmaceutical industry such as the wet milling process, the benefits of incorporating this technique are assessed. The realtime analysis of imaging data in combination with other simultaneously-acquired quantitative data streams enables the user to make informed decisions and implement enhanced control strategies.

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KW - digitisation

KW - in-line imaging

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SN - 978-1-61499-901-0

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Cardona J, Ferreira C, Svoboda V, Ahmed B, McGinty J, Agimelen OS et al. The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry. In Thorvald P, Case K, editors, Advances in manufacturing technology XXXII: proceedings of the 16th International Conference on Manufacturing Research. Netherlands. 2018. p. 27-32 https://doi.org/10.3233/978-1-61499-902-7-27