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

Javier Cardona; Carla Ferreira; Vaclav Svoboda; Bilal Ahmed; John McGinty; Okpeafoh S. Agimelen; Andrew Hamilton; Alison Cleary; Robert Atkinson; Craig Michie; Stephen Marshall; Alastair J. Florence; Yi-Chieh Chen; Jan Sefcik; Ivan Andonovic; Christos Tachtatzis

doi: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

Javier Cardona, Carla Ferreira, Vaclav Svoboda, Bilal Ahmed, John McGinty, Okpeafoh S. Agimelen, Andrew Hamilton, Alison Cleary, Robert Atkinson, Craig Michie, Stephen Marshall, Alastair J. Florence, Yi-Chieh Chen, Jan Sefcik, Ivan Andonovic, Christos Tachtatzis

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

1 Citation (Scopus)

82 Downloads (Pure)

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.

Original language	English
Title of host publication	Advances in Manufacturing Technology XXXII
Subtitle of host publication	proceedings of the 16th International Conference on Manufacturing Research
Editors	Peter Thorvald, Keith Case
Place of Publication	Netherlands
Publisher	IOS Press
Pages	27-32
Number of pages	6
ISBN (Print)	978-1-61499-901-0
DOIs	https://doi.org/10.3233/978-1-61499-902-7-27
Publication status	Published - 11 Sept 2018
Event	International Conference on Manufacturing Research - Skövde, Sweden Duration: 11 Sept 2018 → 13 Sept 2018

Publication series

Name	Advances in Transdisciplinary Engineering
Publisher	IOS Press
Volume	8

Conference

Conference	International Conference on Manufacturing Research
Abbreviated title	ICMR '18
Country/Territory	Sweden
City	Skövde
Period	11/09/18 → 13/09/18

Keywords

continuous manufacturing
digitisation
in-line imaging

Access to Document

10.3233/978-1-61499-902-7-27

Cardona-etal-ICMR-2018-The-role-of-in-line-image-analysis-in-the-transition-to-continuous-manufacturingAccepted author manuscript, 399 KB

Cite this

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. (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). (Advances in Transdisciplinary Engineering; Vol. 8). IOS Press. https://doi.org/10.3233/978-1-61499-902-7-27

Cardona, Javier ; Ferreira, Carla ; Svoboda, Vaclav et al. / The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry. Advances in Manufacturing Technology XXXII: proceedings of the 16th International Conference on Manufacturing Research. editor / Peter Thorvald ; Keith Case. Netherlands : IOS Press, 2018. pp. 27-32 (Advances in Transdisciplinary Engineering).

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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; International Conference on Manufacturing Research, ICMR '18 ; Conference date: 11-09-2018 Through 13-09-2018",

year = "2018",

month = sep,

day = "11",

doi = "10.3233/978-1-61499-902-7-27",

language = "English",

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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. Advances in Transdisciplinary Engineering, vol. 8, IOS Press, 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 et al.
Advances in Manufacturing Technology XXXII: proceedings of the 16th International Conference on Manufacturing Research. ed. / Peter Thorvald; Keith Case. Netherlands: IOS Press, 2018. p. 27-32 (Advances in Transdisciplinary Engineering; Vol. 8).

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

PY - 2018/9/11

Y1 - 2018/9/11

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.

KW - continuous manufacturing

KW - digitisation

KW - in-line imaging

UR - http://www.icmr.org.uk/

UR - http://www.iospress.nl

U2 - 10.3233/978-1-61499-902-7-27

DO - 10.3233/978-1-61499-902-7-27

M3 - Conference contribution book

SN - 978-1-61499-901-0

T3 - Advances in Transdisciplinary Engineering

SP - 27

EP - 32

BT - Advances in Manufacturing Technology XXXII

A2 - Thorvald, Peter

A2 - Case, Keith

PB - IOS Press

CY - Netherlands

T2 - International Conference on Manufacturing Research

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ER -

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: IOS Press. 2018. p. 27-32. (Advances in Transdisciplinary Engineering). doi: 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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Intelligent Decision Support Technologies for Continuous Manufacture

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

ImagingApp: image analysis framework for particle size and shape characterisation

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

Cite this

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Intelligent Decision Support Technologies for Continuous Manufacture

Datasets

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

ImagingApp: image analysis framework for particle size and shape characterisation

Research output

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

Cite this