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Automation of Cold Chain Infrastructure: Impact on Efficiency, Data Integrity, and Sample Quality in Cryogenic Workflows

Automation of Cold Chain Infrastructure: Impact on Efficiency, Data Integrity, and Sample Quality in Cryogenic Workflows


Application Notes & Tech Notes

Cold Chain Automation Is Critical for Sample Security and Compliance

When storing sensitive cell-based materials like iPSCs, the method used to access and manage cryogenic inventory can directly impact sample quality, documentation rigor, and operational efficiency. This tech note examines retrieval time, ambient sample exposure, and post-thaw cell morphology in automated versus manual liquid nitrogen (LN2) storage workflows.

Comparing the CryoArc™ Pico automated cryogenic storage system from Azenta Life Sciences with a traditional manual LN2 dewar, the study — conducted in partnership with the Advanced Regenerative Manufacturing Institute (ARMI BioFabUSA) — provides valuable insights into sample access speed, thermal stability, and cold chain reliability for advanced therapy workflows.

Learn how automation cold chain infrastructure can improve efficiency without compromising sample quality!

Automation of Cold Chain Infrastructure: Impact on Efficiency, Data Integrity, and Sample Quality in Cryogenic Workflows