bThe quality of sample inoculation is critical for achieving an optimal yield of discrete colonies in both monomicrobial and polymicrobial samples to perform identification and antibiotic susceptibility testing. Consequently, we compared the performance between the InoqulA (BD Kiestra), the WASP (Copan), and manual inoculation methods. Defined mono-and polymicrobial samples of 4 bacterial species and cloudy urine specimens were inoculated on chromogenic agar by the InoqulA, the WASP, and manual methods. Images taken with ImagA (BD Kiestra) were analyzed with the VisionLab version 3.43 image analysis software to assess the quality of growth and to prevent subjective interpretation of the data. A 3-to 10-fold higher yield of discrete colonies was observed following automated inoculation with both the InoqulA and WASP systems than that with manual inoculation. The difference in performance between automated and manual inoculation was mainly observed at concentrations of >10 6 bacteria/ml. Inoculation with the InoqulA system allowed us to obtain significantly more discrete colonies than the WASP system at concentrations of >10 7 bacteria/ml. However, the level of difference observed was bacterial species dependent. Discrete colonies of bacteria present in 100-to 1,000-fold lower concentrations than the most concentrated populations in defined polymicrobial samples were not reproducibly recovered, even with the automated systems. The analysis of cloudy urine specimens showed that InoqulA inoculation provided a statistically significantly higher number of discrete colonies than that with WASP and manual inoculation. Consequently, the automated InoqulA inoculation greatly decreased the requirement for bacterial subculture and thus resulted in a significant reduction in the time to results, laboratory workload, and laboratory costs.T he emergence of automation in bacteriology has opened a new era in clinical diagnostic laboratories. Automation is impacting laboratory management and workflow but also offers new perspectives for research and development in bacteriology by developing intelligent algorithms and driving innovation. Sample inoculation is a fastidious and repetitive process representing about 25% of a laboratory's workload (1). Thus, automated inoculation systems represent a need in diagnostic laboratories given the reductions in human, material, and financial resources and the increase in sample volumes (1). Moreover, the quality of inoculation is critical for achieving an optimal yield of discrete colonies in both monomicrobial and polymicrobial samples to facilitate rapid identification (ID) and antibiotic susceptibility testing (AST). Several inoculation and streaking instruments are currently available for routine diagnostic laboratories, including the Autoplak (NTE-SENER), the InoqulA (BD Kiestra), the Innova (BD), the PreLUD (i2a), the Previ Isola (bioMérieux), and the WASP (Copan). However, the true effectiveness of automated inoculation systems needs to be validated by independent routine clinical mic...