Created by sebastien.popoff on 24/09/2024

Talks Wavefront shaping

Harnessing disorder and symmetries in multimode fibers

Sébastien M. Popoff
IESC Cargèse, France
April 2024

We present how to study light propagation in multimode fibers using transmission matrix measurements and apply it to understand the effect disorder and its impact on the so-called rotational memory effect. This talk is part of the Wave Propagation and Control in Complex Media 2024 workshop (15-19 April 2024, Cargèse, France)

See full post

DMD transmission matrix multimode fibers telecommunications imaging deep learning

Created by sebastien.popoff on 01/07/2024

Tutorials Spatial Light Modulators

A practical guide to Digital Micro-mirror Devices (DMDs) for wavefront shaping

 

Sébastien M Popoff1 , Rodrigo Gutiérrez-Cuevas1 , Yaron Bromberg2 and Maxime W Matthés1

Citation Badge ArXiv Github

 

Digital micromirror devices have gained popularity in wavefront shaping,  offering a high frame rate alternative to liquid crystal spatial light modulators. They are relatively inexpensive, offer high resolution, are easy to operate, and a single device can be used in a broad optical bandwidth. However, some technical drawbacks must be considered to achieve optimal performance. These issues, often undocumented by manufacturers, mostly stem from the device's original design for video projection applications. Herein, we present a guide to characterize and mitigate these effects. Our focus is on providing simple and practical solutions that can be easily incorporated into a typical wavefront shaping setup.

See full post

DMD

Created by sebastien.popoff on 20/11/2023

Job offers

Master intership + PhD at the Langevin Institute

Invariant Properties in Multimode Fibers for Imaging Applications

We are recruiting a master student with the possibility to continue during a Ph.D (funded) to work on the study of light propagation in multimode fibers using wavefront shaping and numerical reconstruction algorithms (phase retrieval, deep learning). Join un in Paris!

Keywords: waveftont shaping, mutlimode fibers, mesoscopic physics, phase retrieval, deep learning

See our recent publication: 

TL;DR:
We will play with deep learning frameworks to develop new approaches for calibration-less imaging through multimode fibers based on the study of invariant properties in multimode fibers.

Contact: Sébastien Popoff - sebastien.popoff(at)espci.fr

More information here.

See full post

transmission matrix deep learning DMD MMF Python

Created by sebastien.popoff on 27/06/2023

Highlights

Dynamic structured illumination for confocal microscopy