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  4. ›Invitrogen EVOS M7000 Cell Imaging System (AMF7000)

U.S. Department Of Health And Human Services·Maryland

Invitrogen EVOS M7000 Cell Imaging System (AMF7000)

Closes 9/10/2026$200k – $500kInvitation for Bid
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Description

The National Institute of Environmental Health Sciences (NIEHS) seeks to purchase an Invitrogen EVOS M7000 Cell Imaging System to support high‑throughput, high‑resolution imaging of 3‑D in‑vitro models in endocrine‑disruptor research. The system will automate imaging of 96‑well plates, provide advanced fluorescence and live‑cell capabilities, and improve data consistency across large experimental sets. The acquisition will enable the Molecular Pathogenesis Group to increase workflow efficiency, reduce manual imaging time, and generate standardized, reproducible data for ongoing NIH research projects. • Equipment: Invitrogen EVOS M7000 (AMF7000) imaging system • Intended use: High‑throughput cellular morphology, proliferation, and protein expression analysis in 3‑D models • Key features: Plate‑scanning automation, 96‑well plate capability, advanced fluorescence, live‑cell imaging • Funding source: NIH internal research budget (no external grant indicated) • Procurement type: Direct purchase/solicitation (Invitation for Bid) • Contact: Francisca K. Wagstaff (NIH) for technical and contractual questions.

Attached files

Contact

Francisca K. Wagstaff

[email protected]

Key dates

Opened
8/25/2026
Closes
9/10/2026

Last updated

Details

Type
Invitation for Bid
Industry
Engineering Services
NAICS
811210
Solicitation №
75N98026Q01084

Budget estimate

$200,000 – $500,000

Based on typical pricing for a high‑end, fully automated cell imaging system with fluorescence and live‑cell capabilities, the total acquisition cost (including accessories, software licenses, and initial service contracts) is likely to fall between $200,000 and $500,000. The lower end reflects a base system with minimal accessories; the higher end accounts for optional modules, extended warranties, and integration services.

AI estimate from the solicitation

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