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Updated: Sep 13, 2025

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

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Published on: November 30, 2022

Establishment of Automated Biobanking Systems: Technical Considerations.

Birendra Kumar Yadav¹, Zisis Kozlakidis², Alka Rani³

¹National Liver Disease Biobank, Institute of Liver & Biliary Sciences D-1, Vasant Kunj, New Delhi, India.

Reviews on Recent Clinical Trials

|August 4, 2025

Summary

Automated biobanking enhances sample quality and research efficiency by minimizing handling and temperature variations. This review details automated systems for modern biobanks, crucial for advancing personalized medicine.

Keywords:

Biobanking automation biospecimen integrity sample storage translational research.

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Last Updated: Sep 13, 2025

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Published on: November 30, 2022

Establishment of a Clinic-based Biorepository

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Published on: May 29, 2017

Creation and Maintenance of a Living Biobank - How We Do It

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Published on: April 10, 2021

Area of Science:

Biomedical research
Biobanking technologies
Genomics and personalized medicine

Background:

Biobanks store biological samples and data, vital for disease research.
Traditional biobanking faces challenges in maintaining sample quality due to manual handling and temperature fluctuations.
High-throughput '-omics' technologies increase demands on biobank scale and agility.

Purpose of the Study:

To review the key considerations for establishing an automated biobank.
To explore automated storage, retrieval, and liquid handling systems.
To examine the impact of automation on sample integrity, data management, and biobank efficiency.

Main Methods:

Review of automated biobanking design principles and components.
Discussion of automated storage and retrieval systems.
Examination of liquid handling platforms and environmental monitoring tools.

Main Results:

Automation addresses challenges in sample quality and uniformity in biobanks.
Automated systems improve efficiency and scalability for high-throughput research.
Automation positively impacts sample integrity, data management, and overall biobank operations.

Conclusions:

Automated biobanking is essential for meeting the demands of modern research.
Automation preserves sample integrity and enhances data management.
Automated biobanks hold significant potential for revolutionizing research and personalized medicine.