When purchasing lab equipment, evaluating and comparing performance claims and metrics is essential to making the right choice for your lab, yet it can be frustratingly difficult. Test methods aren’t standardized, family-level claims blur unit-level behavior, and specs frequently stand in for actual data—leaving lab managers to reconcile apples-to-oranges data under real budget and compliance pressure.
This in-depth guide breaks down the common pain points in evaluating equipment performance, focusing on some of the most crucial equipment for maintaining quality and integrity of samples and products in the lab: refrigerators, freezers, and incubators.
It reviews which key performance metrics are most challenging to understand and compare between vendors and why, then provides clear, actionable steps to get the information you need to back an informed purchasing decision.
Download the eBook now for a clear framework for understanding and distinguishing recovery data, reliability and robustness, energy consumption, variance and uniformity, biological contamination control, and parameter control. Get the answers to rarely discussed questions, like:
- How door-opening speed and CO₂ sensor type (thermal-conductivity vs. IR) can make incubator "fast recovery" look better—or worse—than you'll experience
- How to validate energy data credibility plus the impact of accessory states and why they may be missed
- When it’s worth requesting boundary or unit-specific testing that mirrors your use case
- Why actual results and “within spec” parameter controls can be operationally different
