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Flow Cytometry Analysis Application Solution

Overview


Software, Web & Mobile Development
Ann Arbor, Michigan, United StatesPosted: June 11th, 2026Deadline: July 10th, 2026

Fit Score


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SUMMARY


RFP for a comprehensive flow cytometry analysis application solution with advanced gating, batch processing, reproducibility, extensibility, and integration requirements.

KEY REQUIREMENTS


BUDGET

Verified

$272

TIMELINE


Released: June 10th, 2026

Open: June 10th, 2026

Close: July 10th, 2026

Issuing Agency


University Of Michigan

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DESCRIPTION


This RFP seeks a vendor to provide a flow cytometry analysis application solution. The solution must support hierarchical and reusable gating strategies and allow the application of saved gating templates across multiple files, batches, and longitudinal studies. It is essential for the system to ensure reproducibility of gating across operators and sessions, as well as versioning or traceability for analysis templates and gating strategies. The solution is expected to provide rapid re-analysis of datasets following template updates.

Key system capabilities include automated or semi-automated gating assistance, comparison of gating strategies across operators or studies, batch processing, and template-based analysis execution. The solution must maintain stability during high-memory or high-volume analysis workflows and efficiently handle large studies and high-parameter datasets. It must enable the export of publication-quality graphics, integration with R, Excel, and Python workflows, and support extensibility via API or scripting. Interoperability with external analytic ecosystems and sharing functionalities for analysis outputs and figures are also required.

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Frequently asked questions

When is the submission deadline?
Submissions are due July 10, 2026.
What is the budget for this RFP?
The published budget is $272.
Who issued this RFP?
It was issued by University Of Michigan. The work is located in Ann Arbor, Michigan, United States.
Who is a good fit for this opportunity?
  • Experience developing bioinformatics or scientific analysis software
  • Proven expertise in flow cytometry data analysis solutions
  • Proficiency in integration with R, Excel, and Python ecosystems
  • History of supporting academic, clinical, or research institutions
  • Capability to support high-volume and high-parameter dataset analysis

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