ImageProVision's ipvMicrobe QC Microbiology System automates CFU counting to improve performance and laboratory productivity. Smart clustering algorithms accurately detect and count individual colonies regardless of their morphology, color, type, confluence, or agglomeration. ImageProVision, Inc., combines over 50 years of experience of advancing Image Analytics to improve the characterization and visualization of particulate matter, particles, and cellular microbiology.