Non-Magnetic RF Specialty Connectors for the Implementation of Rx array for Brain MRI
Health and Human Services, Department of · NATIONAL INSTITUTES OF HEALTH
This notice is not accepting responses (deadline was May 24, 2026, 8:00 PM EDT).
Page kept for research and related open opportunities below. For current work in this category, use the related notices or browse hubs.
- Response deadline
- May 24, 2026, 8:00 PM EDT
- Posted
- May 14, 2026
- Solicitation
- NINDS04106
- Set-aside
- No Set aside used
- Place of performance
- Bethesda, MD, USA
- Contracting office
- NATIONAL INSTITUTES OF HEALTH OLAO · BETHESDA · MD
- Source
- SAM.gov · updated May 15, 2026
Description
This purchase is required to procure high-performance RF specialty connectors for use in the design and assembly of a parallel receive array dedicated to brain imaging applications. These connectors are essential for establishing low-loss, impedancematched signal paths between individual coil elements, preamplifiers, and receiver hardware. The parallel receive array architecture requires multiple independent RF channels operating with high sensitivity and minimal signal degradation. The selected RF connectors must ensure: � Low insertion loss and minimal signal reflection � High-frequency performance compatible with the system�s operating frequency � Reliable mechanical integrity under repeated connection cycles � Compact form factor suitable for dense array layouts Without these specialty connectors, the array cannot achieve the required signal integrity, channel isolation, and overall imaging performance necessary for highresolution brain imaging.
What similar awards have paid
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Typical award size
$30,000
Middle of the pack for similar past awards
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Drawn from official USAspending contract records in our index. Always confirm requirements on the SAM.gov notice before you bid.
Intelligence only — not legal advice or a guarantee of award. Always verify requirements on the official SAM.gov notice. Past award amounts are public history, not a suggested bid or prediction. Notice ID f1993348e6c542b498dd420895dc92f3.