Clinical studies have suggested that the enumeration of mycobacteria by using automated liquid systems is a faster and simpler alternative to quantitative cultures. Here, we show that the time to detection of M. tuberculosis growth as measured with the MGIT 320 liquid culture system inversely correlates with CFU determinations from culture on solid media and that mycobacterial quantification using the MGIT system is faster and easier to perform than CFU plating.T he limited effectiveness of the Mycobacterium bovis BCG vaccine in preventing adult pulmonary tuberculosis (TB) and the increasing incidence of deadly multidrug-resistant M. tuberculosis strains emphasize the need to develop improved vaccination strategies against TB (1-3). However, the recent disappointing results from the MVA85A TB vaccine trial in South Africa suggested that the search for new approaches to TB immunization is just beginning (4). Currently, most new vaccines against TB are evaluated in a multistep preclinical process that often includes testing in two or more animal models (5). Although established models are available for assessing novel TB vaccine preparations in mice, guinea pigs, rabbits, and nonhuman primates, testing new vaccines in these models is slow and often not reproducible in different laboratories. A time-consuming component of the vaccine evaluation protocols is the enumeration of postchallenge organ mycobacterial burdens by colony counting on solid media. Standard CFU determinations are labor-intensive, hampered by the tendency of mycobacteria to clump, and sometimes fail due to contamination (6). In many TB vaccine testing labs, CFU determinations can vary within different experiments because of the absence of standardized reagents for solid media preparation. Most importantly, CFU determinations are slow; usually about 3 weeks of incubation are required to detect colonies on mycobacterial growth plates (7).For more than a decade, the MGIT liquid media system has been increasingly employed to assess whether M. tuberculosis bacilli are present in clinical specimens (8-11). The MGIT system uses an oxygen-quenching fluorescent sensor and appropriate software algorithms to determine whether significant mycobacterial growth has occurred (12). The instrument reports this bacterial growth as the time to detection (TTD). Overall, the MGIT system has been shown to be highly sensitive and to shorten the time needed to detect M. tuberculosis in clinical samples by 1 to 3 weeks (relative to growth on solid media). Several multicenter studies have demonstrated that MGIT-based protocols for detecting drug-resistant M. tuberculosis strains are relatively rapid and highly reproducible between different laboratories (13-15). Interestingly, the TTD measurements obtained using the automated liquid systems have been shown to closely compare with the results of CFU counting on solid media, and therefore the MGIT system represents a viable alternative to CFU determinations in evaluating responses to TB chemotherapy (9).To potentially impro...