Opportunity
SAM #75N98026Q00590
NIH OLAO Solicitation for Agilent NovoCyte Advanteon Flow Cytometer
Buyer
NIH Office of Logistics and Acquisition Operations
Posted
June 10, 2026
Respond By
June 22, 2026
Identifier
75N98026Q00590
NAICS
334516, 423490
The National Institutes of Health Office of Logistics and Acquisition Operations (NIH OLAO), under the Department of Health and Human Services, is seeking to acquire advanced laboratory equipment for cellular analysis. - Government Buyer: - Department of Health and Human Services (HHS) - National Institutes of Health (NIH) - Office of Logistics and Acquisition Operations (OLAO) - OEM Highlight: - Agilent is the specified Original Equipment Manufacturer (OEM) - Products/Services Requested: - Agilent NovoCyte Advanteon Flow Cytometer - Benchtop system for high-parameter cellular analysis - Designed for research and clinical laboratory use - Features flexible hardware configurations and automated data acquisition/analysis - No specific part number or quantity provided - Notable Requirements: - Instrument will support research on gene regulation and disease mechanisms - Emphasis on advanced capabilities to improve experimental throughput - No unique administrative or procedural requirements specified
Description
The NovoCyte Advanteon Flow Cytometer is a benchtop system designed for high-parameter cellular analysis in research and clinical laboratory settings. It is an advanced platform for multicolor flow cytometry that combines flexible hardware configurations with automated data acquisition and analysis capabilities. The Section on Regulatory Ribonucleic Acids conducts research on the regulation of gene expression by ribonucleic acid binding proteins and micro ribonucleic acids. These studies are critical to understanding how gene regulation is disrupted in diseases such as cancer, hearing loss, and diabetes. Understanding these processes supports the development of new therapeutic approaches. Acquisition of the NovoCyte Advanteon Flow Cytometer will significantly increase experimental throughput and improve the efficiency of research workflows supporting these projects.