Opendata, web and dolomites


Information-age microscopy for deep vision imaging of biological tissue

Total Cost €


EC-Contrib. €






 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.

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

Project "DEEPVISION" data sheet

The following table provides information about the project.


Organization address
postcode: 7522 NB

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


Take a look of project's partnership.

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


 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.


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/
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 ( 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.)

SUExp (2018)

Strategic Uncertainty: An Experimental Investigation

Read More  


The Enemy of the Good: Towards a Theory of Moral Progress

Read More  


The Mass Politics of Disintegration

Read More