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Scale-Up of Mammalian Cell Culture using a New Multilayered Flask
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Software System Design to Support Scale in Mammalian Cell Line Engineering.

David W McClymont1, Baird McIlwraith1, Althea Green1

  • 1Preclinical Services Revvity Discovery Cambridge UK.

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|December 22, 2025
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Summary
This summary is machine-generated.

We developed automated software and robotics to triple cell line engineering (CLE) throughput. This high-throughput platform integrates a markup language (GEML) and lab information management system (LIMS) for efficient bioproduction.

Keywords:
automationgenetic engineeringindustryinnovationscale‐up strategiesscreening strategiessoftwaresoftware platformworkflow

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Area of Science:

  • Biotechnology
  • Bioinformatics
  • Genomics

Background:

  • Traditional cell line engineering (CLE) workflows are manual and low-throughput.
  • Increasing demands in research, development, and bioproduction necessitate higher efficiency.

Purpose of the Study:

  • To develop a high-throughput CLE platform by integrating software solutions with wet lab automation.
  • To improve the throughput of CLE processes by threefold.

Main Methods:

  • Development of a Gene Expression Markup Language (GEML) for e-commerce and manufacturing system integration.
  • Creation of a Laboratory Information Management System (LIMS) to track CLE projects.
  • Implementation of a machine learning (ML)-based method for analyzing brightfield images of engineered clones.

Main Results:

  • Achieved a threefold increase in CLE platform throughput.
  • Successfully integrated GEML and LIMS for streamlined cell line manufacturing.
  • Developed an ML model for efficient clone analysis without fluorescent staining.

Conclusions:

  • Combining wet lab automation with software approaches is crucial for high-throughput CLE.
  • The developed platform enhances robustness and meets the growing demands of the field.
  • Software-based solutions are essential for unlocking the full potential of CLE workflows.