Home ContractsHigh Content Screening System

High Content Screening System

WAC ID:219347

Private SectorAward noticeClosed32014L0024

Source:	Find a Tender Service (FTS)
Notice Type:	Award notice
Buyer:	MEDICINES DISCOVERY CATAPULT SERVICES LIMITED
Main Category:	Goods
Procurement Method:	Open procedure
Tender Status:	Closed
Estimated Value (ex. VAT):	Not specified
Release Date:	23 May 2023
Application Deadline:	—
Procurement ID (OCID):	ocds-h6vhtk-03655c

Procurement timeline

All 3 notices for this procurement, oldest first.

View full lifecycle →

Prior information / planning notice· 2 Sept 2022
High Content Screening System
Tender notice· 31 Oct 2022
High Content Screening System
Contract award notice· 23 May 2023Viewing
High Content Screening System

Earlier notices predate the Procurement Act 2023 (commenced 24 Feb 2025) and therefore don't carry UK1–UK17 codes.

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Award outcome

Awarded to

Perkin Elmer LAS (UK) LIMITEDGB-COH-03763278

Award status:

Active

Contracting Authority

Organisation

MEDICINES DISCOVERY CATAPULT SERVICES LIMITED

Description

The Advanced Technologies team at the Medicines Discovery Catapult (MDC) is looking to expand its current advanced microscopy facility to support both our own growing needs and provide the UK SME community access to advanced molecular and cellular imaging. MDC is aiming purchase a confocal High Content Screening (HCS) instrument based on an automated well-plate inverted microscope, together with confocal and widefield functionalities. It is crucial for the HCS system to be flexible and provide fast and high-resolution imaging of a wide range of experiments. The instrument should be configured to enable the use of different sample formats (2D and 3D cell models, tissue sections, fixed and live-cell) and experimental types (drug dose responses, live-cell kinetic studies, phenotypic screening, RNA scope), using a large variety of well-plate formats and a wide range of fluorophores. In addition, the HCS instrument must be supplied with a high-end solution for high content image analysis, visualization and handling.