A novel image cytometry-based Lactobacillus bacterial enumeration method for the production of kettle sour beer.

The demands for a variety of craft beer flavors have been increasing in the United States. To meet this rising demand, breweries have been experimenting with kettle sour beer that utilizes lactic acid-producing bacteria for fermentation. The current standard bacterial quantification method is insufficient for rigorous quality control, thus there is a need for a better method to monitor lactobacilli concentration in a kettle sour environment. In this work, an automated Lactobacillus counting method was developed using fluorescence-based image cytometry. Three commonly used species were cultured, the concentrations were measured using image cytometry and evaluated against the standard spread-plating method. This procedure was undertaken in vitro at different dilutions and the method was repeated with two species in a kettle sour environment at different time points. Both the in vitro and fermentation experiments were repeated three times. Results demonstrated that the new method was not significantly different when compared to the standard plating method in either controlled settings or within the kettle sour fermentation. The proposed method provides a rapid tool to monitor and control lactobacilli growth in kettle sour beer production, and allows for standardization of the products due to the availability of near instantaneous information for quality control.

A rapid single cell sorting verification method using plate-based image cytometry.

Single cell sorting is commonly used for ensuring monoclonality and producing homogenous target cell populations. Current single cell verification methods involve manually confirming the existence of single cells or colonies in a well using a standard light microscope. However, the manual verification method is time-consuming and highly tedious, which prompts a need for an accurate and rapid detection method for verifying single cell sorting capability. Here, we demonstrate a rapid single cell sorting verification method using the Celigo Image Cytometer. Calcein AM-stained Jurkat cells and fluorescent beads are sorted into 96-well half area microplates using the MoFlo Astrios EQ. Whole well bright field and fluorescent images are acquired and analyzed using the image cytometer in less than 8 min. The proposed single cell verification detection method in multi-well microplates can allow for quick optimization of FACS instruments at flow core laboratories, as well as improvement of downstream biological assays by accurately confirming the presence of single cells in each well.