Tender

Quantitative Whole Slide Imaging System

UNIVERSITY OF EXETER

This public procurement record has 1 release in its history.

Tender

19 Jul 2019 at 15:31

Tender Notice
Summary of the contracting process

The University of Exeter is seeking bids for the acquisition of a Quantitative Whole Slide Imaging System, primarily intended for the archival and study of pancreatic material collected from patients with Type 1 diabetes. This procurement falls within the medical imaging services sector, classified under CPV code 85150000. The tender was published on 19th July 2019, with the submission deadline set for 19th August 2019. Contracts for this procurement are expected to commence on 13th September 2019 and run until 14th September 2020. The procurement method is an open procedure, allowing all interested suppliers to participate.

This tender represents significant opportunities for businesses involved in medical equipment manufacturing and imaging technology. Companies that specialise in medical devices, imaging systems, or related services would be well-suited to compete for this contract. The unique focus on rare pancreatic specimens may also appeal to firms with expertise in handling sensitive medical materials and conducting high-level analysis, making it a compelling opportunity for the right business to expand their portfolio and partnership with an esteemed academic institution.

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Notice Information

Notice Title

Quantitative Whole Slide Imaging System

Notice Description

This machine will be used to archive and study post mortem and donor material from a rare and precious collection of pancreatic material collected from patients (mostly children) with Type 1 diabetes. These unique and critical pancreatic specimens provide the only opportunity available to study this disease, in its originating organ, at diagnosis in this age group of people. Accurate, comprehensive utility and archiving of this rare resource is the primary objective of the current application. Importantly these samples were not collected in optimal conditions so require careful imaging and analysis to ensure maximum utility.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-ec2e4603-4805-4477-9282-b86e6f75e784
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/c638f256-012f-4bc2-aece-9616402fc866
Current Stage
Tender
All Stages
Tender

Procurement Classification

Notice Type
Tender Notice
Procurement Type
Standard
Procurement Category
Goods
Procurement Method
Open
Procurement Method Details
Open procedure
Tender Suitability
Not specified
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

85 - Health and social work services

CPV Codes

85150000 - Medical imaging services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
19 Jul 20196 years ago
Submission Deadline
19 Aug 2019Expired
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
12 Sep 2019 - 14 Sep 2020 1-2 years
Recurrence
Not specified

Notice Status

Tender Status
Active
Lots Status
Not Specified
Awards Status
Not Specified
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
UNIVERSITY OF EXETER
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
EXETER
Postcode
EX4 4QH
Post Town
Exeter
Country
England
Major Region (ITL 1)
TLK South West (England)
Basic Region (ITL 2)
TLK4 Devon
Small Region (ITL 3)
TLK43 Devon CC
Delivery Location
TLK South West (England)
Local Authority
Exeter
Electoral Ward
Duryard and St James
Westminster Constituency
Exeter

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

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