Opendata, web and dolomites


Translating quantum sensing into cost-effective molecular imaging

Total Cost €


EC-Contrib. €






 QUSMI project word cloud

Explore the words cloud of the QUSMI project. It provides you a very rough idea of what is the project "QUSMI" about.

profiling    diadems    private    commercialize    staging    imaging    diamant    diamonds    business    enabled    placing    fundamental    disruptive    building    fet    continued    ip    quantum    direct    metabolites    mri    dramatically    breakthrough    cardiology    neurology    recognize    portfolio    proactive    diamond    metabolic    revolutionize    techniques    nitrogen    myocardial    understand    first    personalized    century    cancer    sensing    accurate    commercialization    21st    resolved    metrology    attracting    earlier    tumor    underlying    socioeconomically    sensitive    drug    medicine    life    medical    science    observation    neural    diseases    molecular    previously    patient    unachievable    qusmi    perturbation    strategy    customer    biochemistry    diagnostic    substrate    capability    substantially    biology    oncology    position    gained    discovery    consolidate    vacancy    invasive    plan    attract    strategic    quantification    sufficient    metabolism    investors    therapies   

Project "QUSMI" data sheet

The following table provides information about the project.


Organization address
city: ULM
postcode: 89081
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 96˙462 €
 EC max contribution 96˙462 € (100%)
 Programme 1. H2020-EU.1.2.1. (FET Open)
 Code Call H2020-FETOPEN-4-2016-2017
 Funding Scheme CSA
 Starting year 2017
 Duration (year-month-day) from 2017-05-01   to  2018-10-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
2    UNIVERSITAET ULM DE (ULM) participant 18˙900.00


 Project objective

The ability to recognize molecular processes using novel imaging techniques is of fundamental importance for medicine, biology and biochemistry in the 21st century. Non-invasive molecular imaging has gained widespread use in patient management of cancer, life-science and medical research, as well as drug discovery and development. The capability of non-invasive metabolic profiling is expected to impact dramatically patient management for socioeconomically relevant diseases. Spatially-resolved observation of metabolites will be key for enabling more accurate staging of diseases by direct assessment of the underlying impact on the metabolism. Quantification of, for example, the perturbation of the myocardial, tumor, or neural substrate metabolism will most likely revolutionize staging and management of diseases in cardiology, neurology, oncology and other fields. Building on novel quantum technology using nitrogen-vacancy in diamonds we have developed in first in the DIAMANT FET project, and continued the FET proactive project DIADEMS - DIAmond Devices Enabled Metrology and Sensing, we are developing an MRI-based breakthrough technology for enabling previously unachievable, highly sensitive quantification of metabolic imaging, enabling earlier diagnostic and personalized therapies, thus substantially improving patient management. However, research and development are not sufficient for attracting private investors and commercialization of a disruptive technology. In QUSMI we will understand the customer needs, reach out to strategic partners, consolidate our IP portfolio and strategy, and develop our business plan. Thus placing us in a position to attract private investors and commercialize the research technology into a product.


List of deliverables.
Applications for hyperpolarized MRI Documents, reports 2019-05-15 18:25:20

Take a look to the deliverables list in detail:  detailed list of QUSMI deliverables.

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The information about "QUSMI" are provided by the European Opendata Portal: CORDIS opendata.

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