Antonio Martinez-Sanchez

Tenure-track Professor

Universidad de Murcia

Spain

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Antonio Martinez-Sanchez is a tenure-track professor at Universidad de Murcia, Spain. His research focuses on advanced methodologies in cryo-electron tomography and three-dimensional electron microscopy. Recent publications include works on machine learning applications in electron tomography and the impact of SARS-CoV-2 spike protein on platelet morphology.

Articles (16)

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2025

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2020

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2020

Collaborators (11)

Mohamad Harastani

Pasteur Institute

FRANCE

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Oliver Mueller-Cajar

Associate Professor

Nanyang Technological University (NTU)

SINGAPORE

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Benjamin Engel

Assistant Professor

University of Basel

SWITZERLAND

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Philip Jeffrey

Princeton University

UNITED STATES

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Young-Min Soh

National Institutes of Health

UNITED STATES

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Ruben Fernandez-Busnadiego

Professor

Universitätsmedizin Göttingen

GERMANY

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Shan He

Howard Hughes Medical Institute

UNITED STATES

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Slavica Jonic

Sorbonne Université

FRANCE

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Irina Dudanova

Professor

University Hospital Bonn

GERMANY

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Mark Hipp

Carl von Ossietzky Universität Oldenburg

GERMANY

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Jose Maria Carazo Garcia

Full Professor

Centro Nacional de Biotecnología

SPAIN

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Antonio Martinez-Sanchez

Research Interests

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About

Articles (16)

Template matching and machine learning for cryo-electron tomography

Fast normalized cross-correlation for template matching with rotations

Simulating the cellular context in synthetic datasets for cryo-electron tomography

Direct Cryo-ET observation of platelet deformation induced by SARS-CoV-2 spike protein

Atg18 oligomer organization in assembled tubes and on lipid membrane scaffolds

MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms.

Author Correction: Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms.

ScipionTomo: Towards cryo-electron tomography software integration, reproducibility, and validation.

HPC enables efficient 3D membrane segmentation in electron tomography

Statistical spatial analysis for cryo-electron tomography

Computational methods for three-dimensional electron microscopy (3DEM)

In situ architecture of neuronal α-Synuclein inclusions

Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms.

Trans-synaptic assemblies link synaptic vesicles and neuroreceptors

The structural basis of Rubisco phase separation in the pyrenoid.

Reliable estimation of membrane curvature for cryo-electron tomography.

Collaborators (11)

Mohamad Harastani

Oliver Mueller-Cajar

Benjamin Engel

Philip Jeffrey

Young-Min Soh

Ruben Fernandez-Busnadiego

Shan He

Slavica Jonic

Irina Dudanova

Mark Hipp

Jose Maria Carazo Garcia

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