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Updated: Jul 30, 2026

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments
Published on: August 6, 2013
Development and application of computer software for cell culture laboratory management.
S H Selznick1, M L Thatcher, K S Brown
1Selznick Scientifc Software, LLC, Tucson, Arizona 85719, USA. cclms@selznick.com
A new Cell Culture Laboratory Management System (CCLMS) prototype reduces manual recordkeeping errors in cell culture research. This adaptable software improves efficiency and data accuracy for laboratory management.
Area of Science:
- Biotechnology
- Laboratory Informatics
- Cell Biology
Background:
- Manual recordkeeping in cell culture laboratories is error-prone and costly.
- Errors in cell culture data can significantly impact biochemical and molecular biological research.
- Existing data archives are often inefficient and difficult to maintain.
Purpose of the Study:
- To develop a prototype software system for Cell Culture Laboratory Management (CCLMS).
- To alleviate the burden of manual recordkeeping for cell culture specialists.
- To enhance the efficiency, reliability, and historical rigor of cell culture laboratory operations.
Main Methods:
- Development of a modular, transaction-based database software prototype.
- Implementation of features for managing subcultures, freezes, and thaws.
- Inclusion of modules for label printing, historical trace-back, frozen cell logging, cell counts, user records, and vessel specifications.
Main Results:
- The CCLMS prototype effectively manages various aspects of cell culture laboratory recordkeeping.
- The system provides detailed tracking of cell line history and cryogenic storage.
- Demonstrated adaptability, reliability, and improvement in training and efficiency in two facilities.
Conclusions:
- The developed CCLMS prototype is a valuable tool for modern cell culture laboratories.
- The software enhances data integrity, reduces errors, and improves operational efficiency.
- CCLMS implementation supports comprehensive automation and rigorous historical data management.
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