NSU TRANSLATIONAL RESEARCH AND ECONOMIC DEVELOPMENT 12 NSU’s Core Research Facilities, located in the CCR, promote research excellence, o ering five di erent facilities available to all NSU research programs and their collaborating partners. Operating as fee-for-service facilities, all are available to external researchers as well. For a description of services, equipment, and pricing, or to request a quote, please visit nova.edu/research/core -facilities or email Robin Krueger, Ph.D., scientific director for research facilities at firstname.lastname@example.org. FLOW CYTOMETRY NSU’s Flow Cytometry Core Facility provides researchers with sophisticated methods and instrumentation in flow cytometry, for the fluorescence analysis and preparative sorting of both human and mouse cells to the BSL-2 plus level. The principal assets of the core consist of an analytic instrument (one BD Fortessa X-20 SORP) and one sorting instrument (BD AriaFusion SORP). The core also provides data analysis support and operates workstations with FACSDiva and FlowJo software. IMAGING NSU’s Imaging Core Facility provides users with state-of- the-art imaging instrumentation and microscopy training. The principal assets of the core consist of the following: a confocal microscope (Zeiss LSM 880), an inverted automated imaging system (Life Technologies EVOS), and a highcontent screening platform (CellInsight CX7). NSU CORE FACILITIES GENOMICS AND BIOINFORMATICS NSU’s cutting-edge Genomics Core Facility (GCF) provides access to sophisticated technologies for the study of functional genomics with a focus on rapid run nextgeneration sequencing (NGS) on Illumina’s NextSeq 500 platform and direct multiplexed measurement of gene expression using NanoString’s novel digital color-coded barcode technology on the nCounter analysis system. The GCF specializes in library construction for various sequencing applications including whole genome sequencing, exome sequencing, and transcriptomic profiling. Support services using customized open-source and commercial software for data analysis are o ered in conjunction to enhance research project goals.