A study was conducted to determine the efficacy of the Soleris Non-fermenting-Total Viable Count (NF-TVC) automated growth-based method for semiquantitative detection of mesophilic, aerobic microorganisms in a variety of food products. A probability of detection (POD) statistical model was used to compare Soleris results at multiple test thresholds (dilutions) with aerobic plate counts determined using reference dilution plating procedures. Nine naturally contaminated food products were tested, with Soleris testing performed at three or four threshold levels for each food. Using the POD model, all Soleris test results were in statistical agreement with the reference plating procedures with the exception of a single threshold level in two trials with black pepper, and a single threshold level in the independent laboratory trial with cheesecake. Results of ruggedness testing showed that the Soleris method produced accurate results even when minor variances in operating parameters, including sample volume and incubation temperature, were introduced. Results of the internal and independent laboratory validation studies showed that the Soleris NF-TVC method can be used as an accurate alternative to conventional dilution plating procedures for evaluation of microbial counts at threshold levels, while saving 24 h or more in analysis time.