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.

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

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.)

NarrowbandSSL (2019)

Development of Narrow Band Blue and Red Emitting Macromolecules for Solution-Processed Solid State Lighting Devices

Read More  

PleasDef (2019)

Exploring Women’s Sexual Pleasure Deficit

Read More  

HOCOM (2019)

A Transparent Hole Conductor by Combinatorial Techniques for Next-Generation Energy Conversion Devices

Read More