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20172021
most citedImaging through a thin scattering layer and jointly retrieving the point-spread-function using phase-diversity

48 citations · 120 across the 3 of their papers we have counts for

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8 papers · 1 filter

physics.optics202137 cited

Fundamental bounds on the precision of iSCAT, COBRI and dark-field microscopy for 3D localization and mass photometry

Jonathan Dong, Dante Maestre, Clara Conrad-Billroth +1

Interferometric imaging is an emerging technique for particle tracking and mass photometry. Mass or position are estimated from weak signals, coherently scattered from nanoparticle…

physics.optics2020

Fundamental bounds on the precision of classical phase microscopes

Dorian Bouchet, Jonathan Dong, Dante Maestre +1

A wide variety of imaging systems have been designed to measure phase variations, with applications from physics to biology and medicine. In this work, we theoretically compare the…

physics.optics2020

Accelerating ptychographic reconstructions using spectral initializations

Lorenzo Valzania, Jonathan Dong, Sylvain Gigan

Ptychography is a promising phase retrieval technique for label-free quantitative phase imaging. Recent advances in phase retrieval algorithms witnessed the development of spectral…

physics.optics202035 cited

Non-invasive single-shot recovery of point-spread function of a memory effect based scattering imaging system

Tengfei Wu, Jonathan Dong, Sylvain Gigan

Accessing the point-spread function (PSF) of a complex optical system is important for a variety of imaging applications. However, placing an invasive point source is often impract…

physics.optics2020

Non-invasive focusing and imaging in scattering media with a fluorescence-based transmission matrix

Antoine Boniface, Jonathan Dong, Sylvain Gigan

In biological microscopy, light scattering represents the main limitation to image at depth. Recently, a set of wavefront shaping techniques has been developed in order to manipula…

physics.optics2020

Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction

Mushegh Rafayelyan, Jonathan Dong, Yongqi Tan +2

Reservoir computing is a relatively recent computational paradigm that originates from a recurrent neural network and is known for its wide range of implementations using different…