output
20122021
most citedSearching for collective behavior in a network of real neurons

277 citations

19 papers

physics.med-ph2021★ 7 cited

Optical phase modulation by natural eye movements: application to time-domain FF-OCT image retrieval

Viacheslav Mazlin, Peng Xiao, Kristina Irsch +5

Eye movements are commonly seen as an obstacle to high-resolution ophthalmic imaging. In this context we study the natural axial movements of the in vivo human eye and show that th…

physics.med-ph2021★ 2 cited

Partial-Field Illumination Ophthalmoscope: improving the contrast of a camera-based retinal imager

Léa Krafft, Elena Gofas-Salas, Yann Lai-Tim +5

Effective and accurate in-vivo diagnosis of retinal pathologies requires high performance imaging devices, combining a large field of view and the ability to discriminate the balli…

physics.med-ph2021★ 4 cited

Laser Doppler holography of the anterior segment for blood flow imaging, eye tracking, and transparency assessment

Léo Puyo, Clémentine David, Rana Saad +6

Laser Doppler holography (LDH) is a full-field blood flow imaging technique able to reveal human retinal and choroidal blood flow with high temporal resolution. We here report on u…

physics.bio-ph2021

Non invasive live imaging of a novel retinal pigment epithelium stress model with Dynamic Full-Field Optical Coherence Tomography

Kassandra Groux, Anna Verschueren, Céline Nanteau +7

Retinal degenerative diseases lead to the blindness of millions of people around the world. In case of age-related macular degeneration (AMD), the atrophy of retinal pigment epithe…

physics.med-ph2021★ 25 cited

Waveform analysis of human retinal and choroidal blood flow with laser Doppler holography

Léo Puyo, Michel Paques, Mathias Fink +2

Laser Doppler holography was introduced as a full-field imaging technique to measure blood flow in the retina and choroid with an as yet unrivaled temporal resolution. We here inve…

physics.med-ph2021★ 39 cited

Choroidal vasculature imaging with laser Doppler holography

Léo Puyo, Michel Paques, Mathias Fink +2

The choroid is a highly vascularized tissues supplying the retinal pigment epithelium and photoreceptors. Its implication in retinal diseases is gaining increasing interest. Howeve…

physics.med-ph2020★ 3 cited

Super-resolution in vivo retinal imaging using structured illumination ophthalmoscopy

Yann Lai-Tim, Laurent Mugnier, Léa Krafft +6

Structured illumination microscopy (SIM) is one of the most versatile super-resolution techniques. Yet, its application to live imaging has been so far mainly limited to fluorescen…

eess.IV2020★ 7 cited

Reverse contrast laser Doppler holography for lower frame rate retinal and choroidal blood flow imaging

Leo Puyo, Michel Paques, Michael Atlan

Laser Doppler holography (LDH) is an interferometric blood flow imaging technique based on full-field measurements of the Doppler spectrum. LDH has so far been demonstrated in the…

eess.IV2020

Spatio-temporal filtering in laser Doppler holography for retinal blood flow imaging

Leo Puyo, Michel Paques, Michael Atlan

Laser Doppler holography (LDH) is a full-field interferometric imaging technique recently applied in ophthalmology to measure blood flow, a parameter of high clinical interest. Fro…

physics.med-ph2020★ 22 cited

Optical Incoherence Tomography: a method to generate tomographic retinal cross-sections with non-interferometric imaging systems

Pedro Mecê, Elena Gofas-Salas, Michel Paques +2

Optical tomographic cross-sectional images of biological samples were made possible by interferometric imaging techniques such as Optical Coherence Tomography (OCT). Owing to its u…

physics.med-ph2020★ 49 cited

Real-time, non-contact, cellular imaging and angiography of human cornea and limbus with common-path Full-field/SDOCT

Viacheslav Mazlin, Peng Xiao, Jules Scholler +4

In today's clinics, a cellular-resolution view of the cornea can be achieved only with an in vivo confocal microscope (IVCM) in contact with the eye. Here, we present a common-path…

physics.med-ph2020★ 27 cited

Curved-Full-Field OCT for high-resolution imaging of living human retina over a large field-of-view

Pedro Mecê, Kassandra Groux, Jules Scholler +4

Allying high-resolution with a large field-of-view (FOV) is of great importance in the fields of biology and medicine, but particularly challenging when imaging non-flat living sam…

physics.bio-ph2019★ 202 cited

Dynamic full-field optical coherence tomography: 3D live-imaging of retinal organoids

Jules Scholler, Kassandra Groux, Olivier Goureau +5

Optical coherence tomography offers astounding opportunities to image the complex structure of living tissue, but lacks functional information. We present dynamic full-field optica…

physics.optics2019★ 84 cited

Distortion matrix concept for deep optical imaging in scattering media

Amaury Badon, Victor Barolle, Kristina Irsch +3

In optical imaging, light propagation is affected by the inhomogeneities of the medium. Sample-induced aberrations and multiple scattering can strongly degrade the image resolution…

cs.CV2018★ 64 cited

Event-based Gesture Recognition with Dynamic Background Suppression using Smartphone Computational Capabilities

Jean-Matthieu Maro, Ryad Benosman

This paper introduces a framework of gesture recognition operating on the output of an event based camera using the computational resources of a mobile phone. We will introduce a n…

physics.med-ph2018★ 51 cited

In vivo laser Doppler holography of the human retina

L. Puyo, M. Paques, M. Fink +2

The eye offers a unique opportunity for non-invasive exploration of cardiovascular diseases. Optical angiography in the retina requires sensitive measurements, which hinders conven…

physics.optics2014★ 6 cited

Enhancing retinal images by nonlinear registration

Guillaume Molodij, Erez N. Ribak, Marie Glanc +1

Being able to image the human retina in high resolution opens a new era in many important fields, such as pharmacological research for retinal diseases, researches in human cogniti…

q-bio.NC2013★ 277 cited

Searching for collective behavior in a network of real neurons

Gašper Tkačik, Olivier Marre, Dario Amodei +3

Maximum entropy models are the least structured probability distributions that exactly reproduce a chosen set of statistics measured in an interacting network. Here we use this pri…

q-bio.NC2012★ 36 cited

Learning quadratic receptive fields from neural responses to natural stimuli

Kanaka Rajan, Olivier Marre, Gašper Tkačik

Models of neural responses to stimuli with complex spatiotemporal correlation structure often assume that neurons are only selective for a small number of linear projections of a p…