Notice Information
Notice Title
Laser Capture Micro dissection system
Notice Description
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 is 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.
Lot Information
Lot 1
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 is 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.
Notice Details
Publication & Lifecycle
- Open Contracting ID
- ocds-r6ebe6-0000740337
- Publication Source
- Public Contracts Scotland
- Latest Notice
- https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=AUG484961
- Current Stage
- Planning
- All Stages
- Planning
Procurement Classification
- Notice Type
- OJEU - F1 - Prior Information Notice
- Procurement Type
- Standard
- Procurement Category
- Goods
- Procurement Method
- Not Specified
- Procurement Method Details
- Not specified
- Tender Suitability
- Not specified
- Awardee Scale
- Not specified
Common Procurement Vocabulary (CPV)
- CPV Divisions
33 - Medical equipments, pharmaceuticals and personal care products
38 - Laboratory, optical and precision equipments (excl. glasses)
-
- CPV Codes
33128000 - Medical laser other than for surgery
38000000 - Laboratory, optical and precision equipments (excl. glasses)
Notice Value(s)
- Tender Value
- £350,000 £100K-£500K
- Lots Value
- Not specified
- Awards Value
- Not specified
- Contracts Value
- Not specified
Notice Dates
- Publication Date
- 1 Aug 20232 years ago
- Submission Deadline
- Not specified
- Future Notice Date
- 27 Sep 2023Expired
- Award Date
- Not specified
- Contract Period
- Not specified - Not specified
- Recurrence
- Not specified
Notice Status
- Tender Status
- Planned
- Lots Status
- Planned
- Awards Status
- Not Specified
- Contracts Status
- Not Specified
Buyer & Supplier
Contracting Authority (Buyer)
- Main Buyer
- UNIVERSITY OF EDINBURGH
- Contact Name
- Not specified
- Contact Email
- maria.dick@ed.ac.uk
- Contact Phone
- Not specified
Buyer Location
- Locality
- EDINBURGH
- Postcode
- EH1 1HT
- Post Town
- Edinburgh
- Country
- Scotland
-
- Major Region (ITL 1)
- TLM Scotland
- Basic Region (ITL 2)
- TLM1 East Central Scotland
- Small Region (ITL 3)
- TLM13 City of Edinburgh
- Delivery Location
- TLM73 East Lothian and Midlothian
-
- Local Authority
- City of Edinburgh
- Electoral Ward
- City Centre
- Westminster Constituency
- Edinburgh East and Musselburgh
Further Information
Notice Documents
-
https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=AUG484961
Laser Capture Micro dissection system - 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 is 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.
Open Contracting Data Standard (OCDS)
View full OCDS Record for this contracting process
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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