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LABEL FREE IMAGING WITH PHI-SCAT

Sector: Education • Location: Netherlands

Source: EU Funding & Tenders Portal

Project
Ended

We will launch phi-SCAT, a novel imaging technology, which uniquely allows for label-free imaging of biological structures of interest. We will do this by productizing the interferometric scattering technology that was invented in course of the Chromavision FET-OPEN project. Proof-of-concept data has been obtained in the FET-OPEN project, and proved the technology’s value, complementary to existin

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The project “LABEL FREE IMAGING WITH PHI-SCAT” is an infrastructure initiative in the Education sector, located in Netherlands. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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Description

Description

We will launch phi-SCAT, a novel imaging technology, which uniquely allows for label-free imaging of biological structures of interest. We will do this by productizing the interferometric scattering technology that was invented in course of the Chromavision FET-OPEN project. Proof-of-concept data has been obtained in the FET-OPEN project, and proved the technology’s value, complementary to existing imaging methods that are either low contrast or depend on fluorescent labels. The project will focus on the steps needed for the market launch of this novel technology. We will follow two parallel trajectories for exploitation: firstly we will implement and launch a phi-SCAT module on our existing C-Trap single-molecule analysis product line. Secondly we will approach potential licensing partners for implementation of the phi-SCAT technology on existing microscope platforms. This project will result in a valuable valorisation of one of the most significant innovations that stemmed from the Chromavision FET-OPEN project. Besides significant positive impact on our C-Trap product line’s turnover and gross margin, the application of this more effective microscopy method in academic and pharmaceutical research will have profound impact on the understanding of key biological processes and contribute greatly to optimization of the drug discovery process

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