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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.

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

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

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 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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