Opendata, web and dolomites

DEEPVISION SIGNED

Information-age microscopy for deep vision imaging of biological tissue

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 DEEPVISION project word cloud

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

final    observations    lift    least    deep    vision    limitation    pioneered    millimetre    unless    perfection    instead    modern    modulator    naive    exponentially    prevents    insights    light    message    scattering    microscopes    fundamentally    structure    propagates    shaping    resolution    statistical    straight    inspired    hundreds    wavefronts    revolves    priori    exist    takes    compressed    penetrate    game    scattered    ignorant    combines    newtonian    correct    radically    microscope    indicate    changing    times    sensing    turbid    microscopy    improvement    materials    idea    think    line    specimen    allard    integrates    impossible    extract    optics    longer    depths    rays    2007    whereas    biology    amount    simulations    fundamental    wavefront    theory    image    biological    model    inside    fraction    mosk    initiate    imaging    physics    larger    itself    optical    spatial    seemingly    picture    decreases    deeper    calculate    nature    tissue   

Project "DEEPVISION" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT TWENTE 

Organization address
address: DRIENERLOLAAN 5
city: ENSCHEDE
postcode: 7522 NB
website: www.utwente.nl

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 Netherlands [NL]
 Total cost 1˙500˙000 €
 EC max contribution 1˙500˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-STG
 Funding Scheme ERC-STG
 Starting year 2016
 Duration (year-month-day) from 2016-03-01   to  2021-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT TWENTE NL (ENSCHEDE) coordinator 1˙500˙000.00

Map

 Project objective

Modern biology could not exist without the optical microscope. Hundreds of years of research have seemingly developed microscopes to perfection, with one essential limitation: in turbid biological tissue, not even the most advanced microscope can penetrate deeper than a fraction of a millimetre. At larger depths light scattering prevents the formation of an image. DEEP VISION takes a radically new approach to microscopy in order to lift this final limitation. Microscopes are based on the idea that light propagates along a straight line. In biological tissue, however, this picture is naive: light is scattered by every structure in the specimen. Since the amount of ‘non-scattered’ light decreases exponentially with depth, a significant improvement of the imaging depth is fundamentally impossible, unless scattered light itself is used for imaging. In 2007, Allard Mosk and I pioneered the field of wavefront shaping. The game-changing message of wavefront shaping is that scattering is not a fundamental limitation for imaging: using a spatial light modulator, light can be focused even inside the most turbid materials, if ‘only’ the correct wavefront is known. DEEP VISION aims to initiate a fundamental change in how we think about microscopy: to use scattered light rather than straight rays for imaging. The microscope of the future is no longer based on Newtonian optics. Instead, it combines new insights in scattering physics, wavefront shaping, and compressed sensing to extract all useful information from a specimen. Whereas existing microscopes are ignorant to the nature of the specimen, DEEP VISION is inspired by information theory; imaging revolves around a model that integrates observations with statistical a-priori information about the tissue. This model is used to calculate the wavefronts for focusing deeper into the specimen. Simulations indicate that my approach will penetrate at least four times deeper than existing microscopes, without loss of resolution.

 Publications

year authors and title journal last update
List of publications.
2017 M. Jang, C. Yang, I. M. Vellekoop
Optical Phase Conjugation with Less Than a Photon per Degree of Freedom
published pages: , ISSN: 0031-9007, DOI: 10.1103/physrevlett.118.093902
Physical Review Letters 118/9 2019-06-19
2016 Gerwin Osnabrugge, Saroch Leedumrongwatthanakun, Ivo M. Vellekoop
A convergent Born series for solving the inhomogeneous Helmholtz equation in arbitrarily large media
published pages: 113-124, ISSN: 0021-9991, DOI: 10.1016/j.jcp.2016.06.034
Journal of Computational Physics 322 2019-06-19
2017 Gerwin Osnabrugge, Roarke Horstmeyer, Ioannis N. Papadopoulos, Benjamin Judkewitz, Ivo M. Vellekoop
Generalized optical memory effect
published pages: 886, ISSN: 2334-2536, DOI: 10.1364/optica.4.000886
Optica 4/8 2019-06-19
2016 Oluwafemi S. Ojambati, Allard P. Mosk, Ivo M. Vellekoop, Ad Lagendijk, Willem L. Vos
Mapping the energy density of shaped waves in scattering media onto a complete set of diffusion modes
published pages: 18525, ISSN: 1094-4087, DOI: 10.1364/oe.24.018525
Optics Express 24/16 2019-06-19
2019 Gerwin Osnabrugge, Lyubov V. Amitonova, Ivo M. Vellekoop
Blind focusing through strongly scattering media using wavefront shaping with nonlinear feedback
published pages: 11673, ISSN: 1094-4087, DOI: 10.1364/oe.27.011673
Optics Express 27/8 2019-05-27
2018 Lyubov V. Amitonova, Tristan B. H. Tentrup, Ivo M. Vellekoop, Pepijn W. H. Pinkse
Multimode-fiber-based high-dimensional quantum secure communication
published pages: , ISSN: , DOI:
arXiv 2019-04-18
2018 Zizheng Cao, Xuebing Zhang, Ivo Vellekoop, Ton Koonen,
Non-line-of-sight beam reconfigurable optical wireless system for energy-efficient communication
published pages: , ISSN: , DOI:
Proc. 44th European Conference on Optical Communication (ECOC) 2018 2019-04-14

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

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

ORGANITRA (2019)

Transport of phosphorylated compounds across lipid bilayers by supramolecular receptors

Read More  

ENTRAPMENT (2019)

Septins: from bacterial entrapment to cellular immunity

Read More  

EASY-IPS (2019)

a rapid and efficient method for generation of iPSC

Read More