activity
20202024
most citedPhase Retrieval: From Computational Imaging to Machine Learning

113 citations · 152 across the 5 of their papers we have counts for

collaborators

5 papers

physics.optics2024★ 16 cited

Fourier Synthetic Aperture-based Time-resolved Terahertz Imaging

Vivek Kumar, Pitambar Mukherjee, Lorenzo Valzania +3

Terahertz microscopy has attracted attention owing to distinctive characteristics of the THz frequency region, particularly non-ionizing photon energy, spectral fingerprint, and tr…

physics.optics2023

Single-pixel transmission matrix recovery via 2-photon fluorescence

Shupeng Zhao, Bernhard Rauer, Lorenzo Valzania +5

Imaging at depth in opaque materials has long been a challenge. Recently, wavefront shaping has enabled significant advance for deep imaging. Nevertheless, most non-invasive wavefr…

cond-mat.mtrl-sci2022★ 5 cited

Three-dimensional operando optical imaging of single particle and electrolyte heterogeneities inside Li-ion batteries

Raj Pandya, Lorenzo Valzania, Florian Dorchies +10

Understanding (de)lithiation heterogeneities in battery materials is key to ensuring optimal electrochemical performance and developing better energy storage devices. However, this…

physics.optics2022★ 113 cited

Phase Retrieval: From Computational Imaging to Machine Learning

Jonathan Dong, Lorenzo Valzania, Antoine Maillard +3

Phase retrieval consists in the recovery of a complex-valued signal from intensity-only measurements. As it pervades a broad variety of applications, many researchers have striven…

physics.optics2020★ 18 cited

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…