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MitoQuant SIGNED

Development of Deep-UV Quantitative Microscopy for the Study of Mitochondrial Dysfunction

Total Cost €

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EC-Contrib. €

0

Partnership

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 MitoQuant project word cloud

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

counter    hence    gene    researcher    optics    levels    experiments    dna    uv    crispr    play    science    start    reconstruction    editor    overshadowing    circumvents    autofluorescence    techniques    cas9    compiled    proteins    network    modifies    technique    dysfunction    suited    matching    turn    good    fluorescently    superresolution    establishing    reduces    fluorescent    little    molecular    time    record    100nm    trained    mitochondria    issue    wavelengths    extract    illumination    instrument    contrast    neural    deductions    free    algorithms    overexpression    numerical    light    continued    originally    presented    microscope    worry    microscopes    live    signal    dynamics    apertures    structured    transfection    specificity    skews    linked    vital    mitoquant    possibility    labelled    material    excellent    sparse    surprising    deep    de    track    neurodegeneration    quality    label    image    learning    resolution    noising    employ    sequences    contextual    microscopy    building    strives    concurrently    classify    quantitative    interplay    imaging    routines    machine    diabetes    highest    organelles    cellular    fluorescence    diseases    adds    machinery    signals    simultaneously    cell    first    mitochondrial   

Project "MitoQuant" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITETET I TROMSOE - NORGES ARKTISKE UNIVERSITET 

Organization address
address: HANSINE HANSENS VEG 14
city: TROMSO
postcode: 9019
website: http://uit.no/

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 Norway [NO]
 Total cost 202˙158 €
 EC max contribution 202˙158 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-07-01   to  2021-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITETET I TROMSOE - NORGES ARKTISKE UNIVERSITET NO (TROMSO) coordinator 202˙158.00

Map

 Project objective

Mitochondria play a vital role in the cellular machinery, hence it is little surprising that their dysfunction has been linked to many diseases, from diabetes to neurodegeneration. However, as many studies on the interplay of organelles and molecular dynamics often employ fluorescence microscopy, a continued worry overshadowing findings and deductions is the possibility that the transfection-induced overexpression of fluorescent proteins skews the obtained results. A recent approach, the gene editor CRISPR-CAS9, which modifies rather than adds DNA sequences, circumvents this issue, but in turn often reduces the available signal levels. To counter low signals and yet offer highest resolution and specificity, MitoQuant aims to image contextual mitochondrial information with label-free superresolution, while simultaneously enhance image quality of specific but sparse fluorescently labelled proteins of interest through recently presented de-noising routines based on machine learning. Therefore, the development of a novel instrument to provide adequate resolution and contrast, matching label-based live-cell superresolution techniques like structured illumination microscopy, is the first main goal of this project. The proposed microscope will work in the deep UV range and employ dedicated optics originally developed for material science to provide high numerical apertures at short wavelengths, thus enabling live-cell imaging in the 100nm range. Concurrently, a neural network will be compiled and trained to enhance signals under low-light conditions and to extract and classify cellular organelles based on their quantitative phase and autofluorescence information. Building on an excellent track record of developing application-tailored microscopes as well as advanced image reconstruction and processing algorithms particularly suited for live-cell superresolution, the researcher strives to start with first live-cell experiments in good time after establishing the technique.

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

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