It’s frustrating when the multi-thousand dollar automated counter goes down for calibration, forcing your team back to the hemocytometer. Worse, when you are manually performing a differential count—trying to distinguish viable cells from debris under the microscope—and an interruption causes you to lose your tally, invalidating minutes of squinting effort. This constant friction slows down critical primary cell culture work and introduces unacceptable variability into your passage number logging.

Furthermore, managing the Trypan Blue exclusion process across multiple technicians leads to data silos. One tech counts 85% viability, another counts 78%, and you spend hours manually merging spreadsheets, trying to reconcile the discrepancy before initiating the next critical assay. If you can't trust the source data, your entire downstream workflow is compromised, leading to costly repeats and wasted reagents.