Emerging themes in CryoEM─ Single particle analysis image processing

JL Vilas, JM Carazo, COS Sorzano - Chemical Reviews, 2022 - ACS Publications
Cryo-electron microscopy (CryoEM) has become a vital technique in structural biology. It is
an interdisciplinary field that takes advantage of advances in biochemistry, physics, and …

Advances in image processing for single-particle analysis by electron cryomicroscopy and challenges ahead

JL Vilas, N Tabassum, J Mota, D Maluenda… - Current Opinion in …, 2018 - Elsevier
Electron cryomicroscopy (cryoEM) is essential for the study and functional understanding of
non-crystalline macromolecules such as proteins. These molecules cannot be imaged using …

A guided tour of selected image processing and analysis methods for fluorescence and electron microscopy

C Kervrann, CÓS Sorzano, ST Acton… - IEEE Journal of …, 2015 - ieeexplore.ieee.org
Microscopy imaging, including fluorescence micro scopy and electron microscopy, has
taken a prominent role in life science research and medicine due to its ability to investigate …

Advances in xmipp for cryo–electron microscopy: From xmipp to scipion

D Strelak, A Jiménez-Moreno, JL Vilas… - Molecules, 2021 - mdpi.com
Xmipp is an open-source software package consisting of multiple programs for processing
data originating from electron microscopy and electron tomography, designed and managed …

A new algorithm for high-resolution reconstruction of single particles by electron microscopy

COS Sorzano, J Vargas, JM de la Rosa-Trevín… - Journal of structural …, 2018 - Elsevier
Abstract The Map Challenge organized by the Electron Microscopy Data Bank has prompted
the development of an Xmipp high resolution reconstruction protocol (which we will refer to …

Image processing in Cryo-Electron Microscopy of Single Particles: the power of combining methods

COS Sorzano, A Jiménez-Moreno, D Maluenda… - Structural Proteomics …, 2021 - Springer
Cryo-electron microscopy has established as a mature structural biology technique to
elucidate the three-dimensional structure of biological macromolecules. The Coulomb …

Kernel generalized Gaussian and robust statistical learning for abnormality detection in medical images

N Kumar, AV Rajwade, S Chandran… - … Conference on Image …, 2017 - ieeexplore.ieee.org
Typical methods for abnormality detection in medical images, which is a one-class
classification problem, rely on kernel principal component analysis (KPCA) and its robust …

Predicting Performance of Object Detection Models in Electron Microscopy Using Random Forests

N Li, R Jacobs, M Lynch, V Agrawal, K Field… - arXiv preprint arXiv …, 2025 - arxiv.org
Quantifying prediction uncertainty when applying object detection models to new, unlabeled
datasets is critical in applied machine learning. This study introduces an approach to …

[引用][C] A Guided Tour of Selected Image Processing and Analysis Methods for Fluorescence and Electron Microscopy

MU Olivo-Marin