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Cell Culture

Cell Culture

Most vertebrate cells grow in vitro attached to a substrate as a monolayer, called adherent cultures. The flasks and plates used to grow cells are chemically treated to facilitate cell attachment. However, a few cell types, such as hematopoietic cells, can grow in a suspension. In contrast to adherent cultures, suspension cultures can grow in non-treated cultureware using magnetic stirrers or spinner flasks to agitate the culture media

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Related Experiment Video

Updated: Sep 18, 2025

Automated Production of Human Induced Pluripotent Stem Cell-Derived Cortical and Dopaminergic Neurons with Integrated Live-Cell Monitoring

Automated Production of Human Induced Pluripotent Stem Cell-Derived Cortical and Dopaminergic Neurons with Integrated Live-Cell Monitoring

Published on: August 6, 2020

AI-Assisted Cell Culture System.

Semim Akhtar Ahmed^1,2, Abhipsha Saikia^1,2, Shalini G Devi^1,3

¹Chemical Biology Lab-I, Institute of Advanced Study in Science and Technology (IASST), Paschim Boragaon, Guwahati, Assam, India.

Methods in Molecular Biology (Clifton, N.J.)

|June 24, 2025

Summary

Artificial intelligence (AI) enhances laboratory cell culture by automating tasks and optimizing conditions for improved reproducibility and drug development. This integration of AI and automation leads to more reliable research outcomes and advances biomedical investigations.

Keywords:

Algorithms Artificial intelligence Biomedical research Cell culture

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Area of Science:

Biomedical Research
Laboratory Automation
Artificial Intelligence Applications

Background:

Cell culture is crucial for studying diseases but is often time-consuming and prone to errors.
Current manual cell culture methods limit large-scale studies and drug candidate screening.
Artificial intelligence (AI) offers potential to revolutionize laboratory research, particularly in cell culture.

Purpose of the Study:

To explore the integration of AI and automation in cell culture.
To highlight how AI can improve the reproducibility and efficiency of cell culture protocols.
To discuss the impact of AI on advanced cell culture techniques like 3D cell culture.

Main Methods:

AI algorithms analyze sensor and camera data to monitor cell behavior and adapt culture conditions.
Robotic systems automate routine cell culture tasks.
AI enables real-time adjustments to optimize cell growth and health.

Main Results:

AI and automation significantly improve the reproducibility of cell culture protocols.
Reduced variability in cell culture leads to more reliable conclusions and better drug development.
AI facilitates advanced 3D cell culture, including simultaneous growth of spheroids and organoids with consistency.

Conclusions:

AI integration in cell culture systems offers substantial improvements for scientists, laboratories, and companies.
AI-driven automation enhances efficiency, reproducibility, and data analysis in cell culture.
Further exploration of AI applications in cell culture is warranted to fully realize its potential.