THE ACQUIFER IMAGING MACHINE: AN AUTOMATED MICROSCOPY PLATFORM FOR HIGH- THROUGHPUT SCREENING OF BUDDING YEAST
The budding yeast Saccharomyces cerevisiae, an eukaryotic microorganism, is a powerful model organism to address biomedical research questions on the genome-scale using growth or biochemical assays. This is complemented by large-scale imaging screens using automated high-throughput microscopy to visualize fluorescent reporter localizations. This allows monitoring the full yeast proteome via GFP fusion proteins or any phenotype that can be followed by a fluorescent marker. Due to the small cell sizes, photosensitivity and non- adherence of yeast cells, these high throughput screening assays demand advanced automated imaging platforms that are capable of robustly and reproducibly acquiring high-resolution datasets for visualization and scoring of cellular and sub-cellular phenotypes.
ACQUIFER SMART IMAGING: AN INTERFACE FOR REMOTE CONTROLLING AND UNSUPERVISED FEEDBACK MICROSCOPY ON THE IMAGING MACHINE
High content screening is routinely employed to automatically acquire multi-dimensional image datasets at fixed positions within wells of microtiter plates. While this is sufficient for many applications, it imposes rather inflexible screening workflows as imaging positions are pre-defined by users, often regardless of specimen location or sample characteristics. This can lead to acquisition of unnecessary datasets, omission of features of interest and could hinder more complex assays that would depend on real-time analysis of image data.
THE ACQUIFER PLATEVIEWER: A TOOL FOR VISUALIZING HIGH CONTENT SCREENING DATA AND SUPERVISED FEEDBACK MICROSCOPY
Modern High Content Screening microscopes allow rapid automated imaging of entire microtiter plates by imaging fixed positions within each well. This is ideal for in-vitro cell culture based readouts or other assays with evenly distributed phenotypes. However, it imposes limitations when large specimen or rare events are studied. The limited field of view of objectives often force users to utilize low magnification lenses leading to low resolution data or accept the omission of features of interest in many wells.