Improving accuracy, reproducibility, and data integrity.
Colony counting is a critical step in QC microbiology, yet it remains one of the most variable aspects of microbial enumeration. Manual CFU counting is influenced by colony size, contrast, growth patterns, plate conditions, and the physiological limits of human vision—often leading to inconsistent results, undercounting, or discrepancies between analysts, even when standardized procedures are followed.
This on-demand webinar explains why colony counting variability occurs, how regulators evaluate these risks during inspections, and how automated colony counting systems help laboratories improve counting accuracy, reproducibility, and data integrity while reducing operator-dependent variability.
Watch the full on-demand session below for a science-based discussion of colony counting limitations and how automation supports inspection-ready data integrity in pharmaceutical microbiology laboratories.
For a practical, inspection-focused breakdown of how automated colony counting supports data integrity in QC microbiology — including validation considerations and real-world lab challenges — read our supporting blog post: Automated Colony Counting: Improving Accuracy and Data Integrity in QC Microbiology
This article expands on the topics covered in the webinar, with additional context on operator variability, electronic records, audit trails, and validation expectations for automated systems.
Get a guided overview of how automation is evaluated, validated, and implemented in regulated microbiology labs