An overview of state‐of‐the‐art image restoration in electron microscopy
Summary In Life Science research, electron microscopy (EM) is an essential tool for
morphological analysis at the subcellular level as it allows for visualization at nanometer …
morphological analysis at the subcellular level as it allows for visualization at nanometer …
Bayesian deconvolution of scanning electron microscopy images using point-spread function estimation and non-local regularization
Microscopy is one of the most essential imaging techniques in life sciences. High-quality
images are required in order to solve (potentially life-saving) biomedical research problems …
images are required in order to solve (potentially life-saving) biomedical research problems …
A 'Human-in-the-Loop'Approach for Semi-automated Image Restoration in Electron Microscopy
J Roels, F Vernaillen, A Kremer, A Gonçalves… - BioRxiv, 2019 - biorxiv.org
The recent advent of 3D in Electron Microscopy (EM) has allowed for detection of detailed
sub-cellular nanometer resolution structures. While being a scientific breakthrough, this has …
sub-cellular nanometer resolution structures. While being a scientific breakthrough, this has …
Image degradation in microscopic images: Avoidance, artifacts, and solutions
The goal of modern microscopy is to acquire high-quality image based data sets. A typical
microscopy workflow is set up in order to address a specific biological question and involves …
microscopy workflow is set up in order to address a specific biological question and involves …
Superpixel quality in microscopy images: the impact of noise & denoising
Microscopy is a valuable imaging tool in various biomedical research areas. Recent
developments have made high resolution acquisition possible within a relatively short time …
developments have made high resolution acquisition possible within a relatively short time …
Algorithmic solutions toward applications of compressed sensing for optical imaging
Y Le Montagner - 2013 - pastel.hal.science
In the past few years, the mathematical theory of compressed sensing (CS) has emerged as
a new tool in the image processing field, leading to some progress in surpassing the limits …
a new tool in the image processing field, leading to some progress in surpassing the limits …
[CITAS][C] Algorithmic solutions toward applications of compressed sensing for optical imaging
EATPT Co-directrice - 2013 - Université de Genève