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LINA: a laboratory inventory system for oligonucleotides, microbial strains, and cell lines
A F Yousef1, I M Baggili, G Bartlett
1Department of Oncology and Microbiology & Immunology, University of Western Ontario, London, Ontario, Canada.
Journal of Laboratory Automation
|May 26, 2011
Summary
The Laboratory Inventory Network Application (LINA) is an open-source software designed to help research labs manage biological materials. It simplifies tracking and retrieval of reagents, improving laboratory organization.
Area of Science:
- Biotechnology
- Laboratory Management
- Bioinformatics
Background:
- Research laboratories manage extensive collections of biologically relevant materials.
- Efficient inventory management is crucial for experimental reproducibility and resource optimization.
- Existing systems may lack standardization or user-friendliness for diverse biological samples.
Purpose of the Study:
- To introduce the Laboratory Inventory Network Application (LINA).
- To provide a user-friendly, open-source software solution for biological material inventory.
- To enhance the organization and retrieval of laboratory reagents.
Main Methods:
- Developed LINA using Microsoft Access for the database backend and Microsoft .NET for the frontend.
- Incorporated preconstructed, standardized, and customizable table templates for data entry.
- Implemented an automated, sequential unique laboratory identifier system for samples.
- Integrated general search functionality with user-defined criteria for efficient data retrieval.
Main Results:
- LINA provides a robust system for tracking biological materials.
- Automated unique identifiers streamline sample retrieval.
- Customizable templates ensure standardized data entry.
- Advanced search tools facilitate quick access to inventory information.
Conclusions:
- LINA is an easily implemented and valuable organizational tool for biological research laboratories.
- The software effectively manages large collections of strains, clones, and other reagents.
- LINA improves laboratory efficiency and data management practices.
