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High Content Imaging System

Overview


Medical Equipment & Lab Supplies
Auckland, New ZealandPosted: June 3rd, 2026Deadline: June 17th, 2026

Fit Score


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SUMMARY


Seeking vendors to supply and integrate a high content imaging system for advanced biological research and automated image analysis in New Zealand.

KEY REQUIREMENTS


TIMELINE


RFP issue date: May 19th, 2026

Intention to lodge form due: May 25th, 2026

Last date for written questions: June 8th, 2026

RFP closing date: June 17th, 2026

Evaluation and clarification: July 6th, 2026

Contract execution: July 20th, 2026

QUESTION DEADLINE


June 8th, 2026

Issuing Agency


The University Of Auckland

Organization overview and procurement intelligence available on paid plans.

DESCRIPTION


The intent of this RFP is to procure a high content imaging system for automated imaging and analysis of both fixed and live biological samples, such as cell cultures, spheroids, organoids, and 3D matrices. The system will play a crucial role in phenotypic screening, drug discovery and pharmacological testing, cell biology, cancer research, and molecular medicine, supporting discovery and translational research initiatives that require handling large-scale image datasets.

Key requirements include integration with secure IT infrastructure, featuring a virtual machine component and remote access capabilities to image databases and analysis software. This setup will allow researchers to analyze data in real time without interrupting ongoing data acquisition processes. Interested vendors must submit all questions regarding this RFP by June 8, 2026.

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Frequently asked questions

When is the submission deadline?
Submissions are due June 17, 2026. Questions must be submitted by June 8, 2026.
Who issued this RFP?
It was issued by The University Of Auckland. The work is located in Auckland, New Zealand.
Who is a good fit for this opportunity?
  • Suppliers specializing in advanced imaging systems for biomedical research
  • Experience with integration of laboratory equipment and IT infrastructure
  • Proven track record in supporting high-throughput screening and image analysis platforms
  • Ability to provide technical support and training for research institutions

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