Opendata, web and dolomites

MitoQuant SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MITOQUANT" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

GENESIS (2020)

unveilinG cEll-cell fusioN mEdiated by fuSexins In chordateS

Read More  

KiT-FIG (2019)

Kidney Transplantation - Functional ImmunoGenomics

Read More  

TLDR (2020)

TL; DR (Too Long; Didn’t Read): Close and hyperreading of literary texts and the modulation of attention

Read More