activity
20152025
most citedConsistent Basis Pursuit for Signal and Matrix Estimates in Quantized Compressed Sensing

46 citations · 67 across the 23 of their papers we have counts for

collaborators

24 papers

eess.SP2025

Proceedings of the second edition of the International Symposium on Computational Sensing (ISCS25)

Thomas Feuillen, Amirafshar Moshtaghpour

The International Symposium on Computational Sensing (ISCS) brings together researchers from optical microscopy, electron microscopy, RADAR, astronomical imaging, biomedical imagin…

eess.SP2025

Fast Simulation of Damage Diffusion Distribution in Scanning Transmission Electron Microscopy

Amir Javadi Rad, Amirafshar Moshtaghpour, Dongdong Chen +1

Scanning Transmission Electron Microscopy (STEM) is a critical tool for imaging the properties of materials and biological specimens at atomic scale, yet our understanding of relev…

physics.app-ph2025

Electron Fourier ptychography for phase reconstruction

Jingjing Zhao, Chen Huang, Ali Mostaed +10

Phase reconstruction is important in transmission electron microscopy for structural studies. We describe electron Fourier ptychography and its application to phase reconstruction…

eess.SP2025★ 1 cited

On Overlap Ratio in Defocused Electron Ptychography

Amirafshar Moshtaghpour, Angus I. Kirkland

Four-dimensional Scanning Transmission Electron Microscopy (4D STEM) with data acquired using a defocused electron probe is a promising tool for characterising complex biological s…

physics.app-ph2024★ 1 cited

LoRePIE: Regularised Extended Ptychographical Iterative Engine for Low-dose and Fast Electron Ptychography

Amirafshar Moshtaghpour, Abner Velazco-Torrejon, Alex W. Robinson +2

The extended Ptychographical Iterative Engine (ePIE) is a widely used phase retrieval algorithm for Electron Ptychography from 4-dimensional (4-D) Scanning Transmission Electron Mi…

eess.IV2024

Compressive Electron Backscatter Diffraction Imaging

Zoë Broad, Alex W. Robinson, Jack Wells +4

Electron backscatter diffraction (EBSD) has developed over the last few decades into a valuable crystallographic characterisation method for a wide range of sample types. Despite t…

cond-mat.mtrl-sci2024★ 1 cited

Diffusion Distribution Model for Damage Mitigation in Scanning Transmission Electron Microscopy

Amirafshar Moshtaghpour, Abner Velazco-Torrejon, Daniel Nicholls +3

Despite the widespread use of Scanning Transmission Electron Microscopy (STEM) for observing the structure of materials at the atomic scale, a detailed understanding of some releva…

eess.SP2023★ 3 cited

SenseAI: Real-Time Inpainting for Electron Microscopy

Jack Wells, Amirafshar Moshtaghpour, Daniel Nicholls +4

Despite their proven success and broad applicability to Electron Microscopy (EM) data, joint dictionary-learning and sparse-coding based inpainting algorithms have so far remained…

physics.med-ph2023

The Potential of Subsampling and Inpainting for Fast Low-Dose Cryo FIB-SEM Imaging and Tomography

Daniel Nicholls, Maryna Kobylysnka, Jack Wells +7

Traditional image acquisition for cryo focused ion-beam scanning electron microscopy tomography often sees thousands of images being captured over a period of many hours, with imme…

cond-mat.mtrl-sci2023

Simultaneous High-Speed and Low-Dose 4-D STEM Using Compressive Sensing Techniques

Alex W. Robinson, Amirafshar Moshtaghpour, Jack Wells +5

Here we show that compressive sensing allow 4-dimensional (4-D) STEM data to be obtained and accurately reconstructed with both high-speed and low fluence. The methodology needed t…

eess.SP2023

Proceedings of the first edition of the International Symposium on Computational Sensing (ISCS23)

Thomas Feuillen, Amirafshar Moshtaghpour

The International Symposium on Computational Sensing (ISCS) brings together researchers from optical microscopy, electron microscopy, RADAR, astronomical imaging, biomedical imagin…

eess.SP2023★ 2 cited

Subsampling Methods for Fast Electron Backscattered Diffraction Analysis

Zoë Broad, Daniel Nicholls, Jack Wells +5

Despite advancements in electron backscatter diffraction (EBSD) detector speeds, the acquisition rates of 4-Dimensional (4D) EBSD data, i.e., a collection of 2-dimensional (2D) dif…

physics.comp-ph2023

Scan Coil Dynamics Simulation for Subsampled Scanning Transmission Electron Microscopy

Daniel Nicholls, Jack Wells, Alex W. Robinson +3

Subsampling and fast scanning in the scanning transmission electron microscope is problematic due to scan coil hysteresis - the mismatch between the actual and assumed location of…

cond-mat.mtrl-sci2023

In silico Ptychography of Lithium-ion Cathode Materials from Subsampled 4-D STEM Data

Alex W. Robinson, Amirafshar Moshtaghpour, Jack Wells +5

High quality scanning transmission electron microscopy (STEM) data acquisition and analysis has become increasingly important due to the commercial demand for investigating the pro…

eess.SP2022★ 1 cited

A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy

Daniel Nicholls, Jack Wells, Alex W. Robinson +5

Cryo Focused Ion-Beam Scanning Electron Microscopy (cryo FIB-SEM) enables three-dimensional and nanoscale imaging of biological specimens via a slice and view mechanism. The FIB-SE…

cond-mat.mtrl-sci2022★ 11 cited

SIM-STEM Lab: Incorporating Compressed Sensing Theory for Fast STEM Simulation

Alex W. Robinson, Daniel Nicholls, Jack Wells +3

Recently it has been shown that precise dose control and an increase in the overall acquisition speed of atomic resolution scanning transmission electron microscope (STEM) images c…

eess.SP2021

Compressive Scanning Transmission Electron Microscopy

Daniel Nicholls, Alex Robinson, Jack Wells +4

Scanning Transmission Electron Microscopy (STEM) offers high-resolution images that are used to quantify the nanoscale atomic structure and composition of materials and biological…

cs.SI2021

The Effect of People Recommenders on Echo Chambers and Polarization

Federico Cinus, Marco Minici, Corrado Monti +1

The effects of social media on critical issues, such as polarization and misinformation, are under scrutiny due to the disruptive consequences that these phenomena can have on our…

cs.IT2019

Close Encounters of the Binary Kind: Signal Reconstruction Guarantees for Compressive Hadamard Sampling with Haar Wavelet Basis

Amirafshar Moshtaghpour, José M. Bioucas Dias, Laurent Jacques

We investigate the problems of 1-D and 2-D signal recovery from subsampled Hadamard measurements using Haar wavelet sparsity prior. These problems are of interest in, e.g., computa…

cs.CV2018

Compressive Single-pixel Fourier Transform Imaging using Structured Illumination

Amirafshar Moshtaghpour, José M. Bioucas-Dias, Laurent Jacques

Single Pixel (SP) imaging is now a reality in many applications, e.g., biomedical ultrathin endoscope and fluorescent spectroscopy. In this context, many schemes exist to improve t…

cs.CV2018★ 1 cited

Compressive Hyperspectral Imaging: Fourier Transform Interferometry meets Single Pixel Camera

Amirafshar Moshtaghpour, José M. Bioucas-Dias, Laurent Jacques

This paper introduces a single-pixel HyperSpectral (HS) imaging framework based on Fourier Transform Interferometry (FTI). By combining a space-time coding of the light illuminatio…

cs.IT2018

Multilevel Illumination Coding for Fourier Transform Interferometry in Fluorescence Spectroscopy

Amirafshar Moshtaghpour, Laurent Jacques

Fourier Transform Interferometry (FTI) is an interferometric procedure for acquiring HyperSpectral (HS) data. Recently, it has been observed that the light source highlighting a (b…

cs.IT2016

A Greedy Blind Calibration Method for Compressed Sensing with Unknown Sensor Gains

Valerio Cambareri, Amirafshar Moshtaghpour, Laurent Jacques

The realisation of sensing modalities based on the principles of compressed sensing is often hindered by discrepancies between the mathematical model of its sensing operator, which…

cs.IT2015★ 46 cited

Consistent Basis Pursuit for Signal and Matrix Estimates in Quantized Compressed Sensing

Amirafshar Moshtaghpour, Laurent Jacques, Valerio Cambareri +2

This paper focuses on the estimation of low-complexity signals when they are observed through uniformly quantized compressive observations. Among such signals, we consider 1-D…