RFP QuestBeta
OpenStage · planning

University Of Edinburgh

Laser Capture Micro dissection system

Laboratory EquipmentCPV 33128000
Value£350k
Deadline
Published1 Aug 2023
RegionNationwide
Who to contact
esilves2@ed.ac.uk
+44 1316502508

The procurement contact named on the official notice.

Contract value in context
£350ktotal contract value
median £123k
this tender£0£16.5m

This sits in the upper-middle of the Medical Equipment & Pharmaceuticals band — a substantial contract for the sector. Based on 9,456 valued Medical Equipment & Pharmaceuticals tenders in our corpus.

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The brief

The IGC is a large multidisciplinary cross-college institute situated within the College of Medicine and Veterinary Medicine at the University of Edinburgh.

IGC includes three world renowned research centres that advance knowledge and deliver basic science concept to clinical and commercial outcomes within one world leading laboratory complex.

The institute, together with its partner Deaneries and the College of Medicine and Veterinary Medicine provide a fertile and dynamic environment for medical research.

In late 2023 the IGC will be launching a new centre for Four Dimensional Cellular Medicine.

This includes developing research facilities to expand the capability of the IGC to investigate and spatially resolve the genome/transcriptome/proteome/metabolome of tissue, organoid and organotypic samples.

The aim ís to leverage advances in multi-omics technologies to drive advances in personalised medicine and drug discovery.

For this we have obtained funding for an automated Laser Capture Microdissection system.

This proposed instrument will enhance the capabilities of the University of Edinburgh to investigate and characterise cell/tissue heterogeneity with spatial resolution down to the single-cell (SC) level.

The system needs to be capable of automatic dissection of many samples.

Because of the anticipated throughput of samples the system is also required to interface with machine-learning-assisted cell identification and characterisation.

The solution must be able to develop and implement machine learning algorithms that can autonomously identify and isolate single cells or morphologically similar cells with single-cell resolution and capture the selected samples into microwell plates up to and including 96 well plate or better.

The instrument will be unique to both the University of Edinburgh and to the surrounding areas.

Our funders have asked that the instrument be available for the wider research community to access.

Because of this we anticipate the system will be heavily used to mitigate against research being impacted by instrument downtime we would require a system engineer to be available for onsite support within 48 hours of a support request and access to technical specialist support as required.

Key requirements

What the supplier must deliver

01

IGC includes three world renowned research centres

IGC includes three world renowned research centres that advance knowledge and deliver basic science concept to clinical and commercial outcomes within one world leading laboratory complex.

02

The institute, together with its partner Deaneries

The institute, together with its partner Deaneries and the College of Medicine and Veterinary Medicine provide a fertile and dynamic environment for medical research.

03

The system needs to be capable

The system needs to be capable of automatic dissection of many samples.

04

Because of the anticipated throughput of samples

Because of the anticipated throughput of samples the system is also required to interface with machine-learning-assisted cell identification and characterisation.

05

The solution must be able to develop

The solution must be able to develop and implement machine learning algorithms that can autonomously identify and isolate single cells or morphologically similar cells with single-cell resolution and capture the selected samples into microwell plates up to and including 96 well plate or better.

Derived from the notice text — always confirm against the original documents.

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Source & provenance
OCID
ocds-h6vhtk-03ec05
Stage
planning · Planning
Source
Find a Tender
Buyer ref
022314-2023
View the original notice on Find a Tender

Contains public sector information licensed under the Open Government Licence v3.0. Source data © Crown copyright.

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