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
Number of pages6
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

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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",
year = "2018",
month = "9",
day = "11",
language = "English",
note = "International Conference on Manufacturing Research, ICMR '18 ; Conference date: 11-09-2018 Through 13-09-2018",

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TY - CONF

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

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/

M3 - Paper

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. 2018. Paper presented at International Conference on Manufacturing Research, Skövde, Sweden.