Decision making-based image analysis to automate cell culture passaging

Cell culture requires hours of time and constant attention to detail. It’s a labor-intensive requirement that places significant demands on scientists' time throughout the week, including weekends.

Image Credit: OMER FARUK ERCEYLAN/Shutterstock.com
Image Credit: OMER FARUK ERCEYLAN/Shutterstock.com

Automation both relieves scientists of time-consuming, mundane activities and reduces human error and batch-to-batch inconsistencies associated with manual operations.

While automated liquid handling has already been achieved for complex processes using liquid handler devices, automating the complete process is far more difficult. Decisions based on cell density or growth rates are notoriously difficult to automate and ensure process quality.

Monitoring cell culture progress using imaging and image-based decision making offers a unique potential to fully automate the entire cell culture process. Automated decision-making enables not only media exchange and passaging but also cell culture control when scientists are not present in the lab.

This article demonstrates how to achieve reliable, consistent cell culture passaging and maintenance with minimal user involvement.

Acknowledgments

Produced from materials originally authored by Oksana Sirenko, Angelina Chopoff, Krishna Macha, Marco Lindner, and Felix Spira from Molecular Devices.

About Molecular Devices UK Ltd

Molecular Devices is one of the world’s leading providers of high-performance bioanalytical measurement systems, software, and consumables for life science research, pharmaceutical, and biotherapeutic development. Included within a broad product portfolio are platforms for high-throughput screening, genomic and cellular analysis, colony selection, and microplate detection. These leading-edge products enable scientists to improve productivity and effectiveness, ultimately accelerating research and the discovery of new therapeutics. Molecular Devices is committed to the continual development of innovative solutions for life science applications. The company is headquartered in Silicon Valley, California, with offices around the globe. For more information, please visit www.moleculardevices.com.


Sponsored Content Policy: News-Medical.net publishes articles and related content that may be derived from sources where we have existing commercial relationships, provided such content adds value to the core editorial ethos of News-Medical.net, which is to educate and inform site visitors interested in medical research, science, medical devices, and treatments.

Last updated: Mar 17, 2026 at 1:39 PM

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Molecular Devices UK Ltd. (2026, March 17). Decision making-based image analysis to automate cell culture passaging. News-Medical. Retrieved on March 17, 2026 from https://www.news-medical.net/whitepaper/20260317/Decision-making-based-image-analysis-to-automate-cell-culture-passaging.aspx.

  • MLA

    Molecular Devices UK Ltd. "Decision making-based image analysis to automate cell culture passaging". News-Medical. 17 March 2026. <https://www.news-medical.net/whitepaper/20260317/Decision-making-based-image-analysis-to-automate-cell-culture-passaging.aspx>.

  • Chicago

    Molecular Devices UK Ltd. "Decision making-based image analysis to automate cell culture passaging". News-Medical. https://www.news-medical.net/whitepaper/20260317/Decision-making-based-image-analysis-to-automate-cell-culture-passaging.aspx. (accessed March 17, 2026).

  • Harvard

    Molecular Devices UK Ltd. 2026. Decision making-based image analysis to automate cell culture passaging. News-Medical, viewed 17 March 2026, https://www.news-medical.net/whitepaper/20260317/Decision-making-based-image-analysis-to-automate-cell-culture-passaging.aspx.

Other White Papers by this Supplier

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.