Opendata, web and dolomites


Long-term molecular nanoscale imaging of neuronal function

Total Cost €


EC-Contrib. €






 MoNaLISA project word cloud

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

combine    photodamage    obtain    pioneered    recycling    neuron    relying    ensemble    function    speed    patterns    hz    tissues    protein    living    clusters    analyze    detection    fluorescence    temporal    recording    advantages    resolft    spanning    monalisa    scales    resolution    live    first    optics    gap    paradigm    transmission    nm    biogenesis    switching    nanoscale    microscope    gsdim    neurons    imaging    acquisition    laser    poorer    1000    molecule    minimal    expertise    record    degradation    proof    fast    introduce    synaptic    sted    difficult    30    quantitative    insufficient    life    slow    storm    toxic    molecular    sensitive    image    spatial    ssim    hours    sequential    tightly    2photon    solution    impossible    nanoscopy    track    super    milliseconds    proteins    vesicle    powers    termed    organelles    faster    potentially    cells    counting    time    fill    single    nano    close    line    palm    sciences    neuronal    3d    small    combines    microscopy    schemes    base    reaching    spaced    days    conventional   

Project "MoNaLISA" data sheet

The following table provides information about the project.


Organization address
postcode: 100 44

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 Sweden [SE]
 Project website
 Total cost 1˙725˙000 €
 EC max contribution 1˙725˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2015
 Duration (year-month-day) from 2015-04-01   to  2020-03-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Synaptic function is difficult to analyze in living neurons using conventional optics, since the synaptic organelles and protein clusters are small and tightly spaced. The solution to this problem can come from the field of super-resolution fluorescence microscopy, or nanoscopy. However, the current approaches to nanoscopy are still far from reaching this goal. Single molecule-based approaches (including STORM and PALM) provide high spatial resolution, but slow recording, insufficient for live imaging. Ensemble approaches (including SSIM and STED) are able to record faster, but with poorer resolution or with high, potentially toxic, laser powers. It is currently impossible to image the same neuron for hours and days, with both high spatial (~30 nm) and temporal (10-1000 Hz) resolution, and with minimal photodamage. My aim is to fill this gap, by developing, for the first time, a microscope that combines the advantages of both single molecule-based and ensemble approaches. I will base the microscope on RESOLFT, a low-photodamage ensemble approach that I have pioneered recently. I will use line patterns to speed up the recording and 2photon-switching for 3D ability. I will combine this with sensitive detection schemes that allow single-molecule detection and counting, relying on my previous expertise with PALM and GSDIM. The new set-up, termed molecular nanoscale long-term imaging with sequential acquisition (MoNaLISA), will track neuronal organelles and proteins on different time scales, spanning from milliseconds to days, with a resolution close to the molecular scale. To obtain the first proof-of-principle results, I will address several issues still open in the synaptic transmission field, relating to synaptic vesicle recycling, biogenesis and degradation. Overall, my project will introduce a novel paradigm to imaging in the life sciences, which will enable fast and quantitative nano-imaging of cells and tissues.


year authors and title journal last update
List of publications.
2018 Francesca Pennacchietti, Ekaterina O. Serebrovskaya, Aline R. Faro, Irina I. Shemyakina, Nina G. Bozhanova, Alexey A. Kotlobay, Nadya G. Gurskaya, Andreas Bodén, Jes Dreier, Dmitry M. Chudakov, Konstantin A. Lukyanov, Vladislav V. Verkhusha, Alexander S. Mishin, Ilaria Testa
Fast reversibly photoswitching red fluorescent proteins for live-cell RESOLFT nanoscopy
published pages: 601-604, ISSN: 1548-7091, DOI: 10.1038/s41592-018-0052-9
Nature Methods 15/8 2019-12-16

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MONALISA" 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 ( 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 "MONALISA" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

MuFLOART (2018)

Microbiological fluorescence observatory for antibiotic resistance tracking

Read More  

U-HEART (2018)

Unbreakable HEART: a reconfigurable and self-healing isolated dc/dc converter (U-HEART)

Read More  

NeuSoSen (2020)

Neural Computations Underlying Social Behavior in Complex Sensory Environments

Read More