184 citations · 1.3k across the 26 of their papers we have counts for
26 papers
Data Models for Dataset Drift Controls in Machine Learning With Optical Images
Luis Oala, Marco Aversa, Gabriel Nobis +10
Camera images are ubiquitous in machine learning research. They also play a central role in the delivery of important services spanning medicine and environmental surveying. Howeve…
Quantifying the effect of image compression on supervised learning applications in optical microscopy
Enrico Pomarico, Cédric Schmidt, Florian Chays +11
The impressive growth of data throughput in optical microscopy has triggered a widespread use of supervised learning (SL) models running on compressed image datasets for efficient…
Ultrafast electron energy-loss spectroscopy in transmission electron microscopy
Enrico Pomarico, Ye-Jin Kim, F. Javier García de Abajo +3
In the quest for dynamic multimodal probing of a material's structure and functionality, it is critical to be able to quantify the chemical state on the atomic and nanoscale using…
Ultrafast holography enabled by quantum interference of ultrashort electrons
I. Madan, G. M. Vanacore, E. Pomarico +7
Holography relies on the interference between a known reference and a signal of interest to reconstruct both the amplitude and phase of that signal. Commonly performed with photons…
Ultrafast Generation and Control of an Electron Vortex Beam via Chiral Plasmonic Near Fields
G. M. Vanacore, G. Berruto, I. Madan +12
Vortex-carrying matter waves, such as chiral electron beams, are of significant interest in both applied and fundamental science. Continuous wave electron vortex beams are commonly…
meV resolution in laser-assisted energy-filtered transmission electron microscopy
E. Pomarico, I. Madan, G. Berruto +5
The electronic, optical, and magnetic properties of quantum solids are determined by their low-energy (< 100 meV) many-body excitations. Dynamical characterization and manipulation…