title: Digital titration: automated image acquisition and analysis of load and growth of Chlamydophila psittaci.
abstract: Traditionally, the amount of infective chlamydiae in a given sample is determined by inoculating dilution series into cell cultures and physically counting chlamydial inclusions. This approach is time consuming, tedious, and error prone, mainly when dealing with high titers. Therefore, this paper describes a largely automated technique that was developed to standardize the determination of chlamydial load in vitro. Cells are fixed at 36 h post-inoculation and bacteria visualized using standard immunological detection methods. Consequently, for 81 microscopic fields, an image is recorded at the interpolated focal plane. These images are then automatically processed using an ImageJ plugin and the obtained results are imported into Excel to determine the number of inclusion forming units per mL in the sample. The main advantage of this technique is that no or minimal sample dilution is required, thus minimizing dilution errors. In addition, this technique was employed during the early, middle and late growth stages of the chlamydial developmental cycle and results correlated well (P < 0.01) with 16S rRNA values from previous experiments, thereby proving its suitability to follow chlamydial growth in vitro. The method described is highly suitable for high throughput titration of cell culture inoculated samples and assessment of possible antichlamydial effects of novel compounds throughout the chlamydial growth cycle.
authors.affiliation: Faculty of Bioscience Engineering, Department of Molecular Biotechnology (BW14), Ghent University, Coupure Links 653, Gent, Belgium. delphine.beeckman@ugent.be
authors.forename: Delphine S A
authors.initials: DS
authors.lastname: Beeckman
authors.forename: Geert
authors.initials: G
authors.lastname: Meesen
authors.forename: Patrick
authors.initials: P
authors.lastname: Van Oostveldt
authors.forename: Daisy
authors.initials: D
authors.lastname: Vanrompay
mesh_terms: D000818:Animals; D001431:Bacteriological Techniques / Q000379:methods*; D002460:Cell Line; D002645:Chickens; D002691:Chlamydophila psittaci / Q000737:chemistry / Q000254:growth & development*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D050296:Microbial Viability; D008853:Microscopy / Q000379:methods*