Maarten Joosten

ORCID: 0000-0003-0028-275X
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About
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Research Areas
  • Advanced Electron Microscopy Techniques and Applications
  • Electron and X-Ray Spectroscopy Techniques
  • Force Microscopy Techniques and Applications
  • Nuclear Structure and Function
  • Advanced Fluorescence Microscopy Techniques
  • Surface Chemistry and Catalysis
  • Molecular Biology Techniques and Applications

Delft University of Technology
2021-2024

Abstract Single molecule localization microscopy offers in principle resolution down to the molecular level, but practice this is limited primarily by incomplete fluorescent labeling of structure. This missing information can be completed merging from many structurally identical particles. In work, we present an approach for 3D single particle analysis which hugely increases signal-to-noise ratio and enables determining symmetry groups macromolecular complexes. Our method does not require a...

10.1038/s41467-021-22006-5 article EN cc-by Nature Communications 2021-05-14

Conformational heterogeneity of biological macromolecules is a challenge in single-particle averaging (SPA). Current standard practice to employ classification and filtering methods that may allow discrete number conformational states be reconstructed. However, the conformation space accessible these molecules continuous and, therefore, explored incompletely by small classes. Recently developed heterogeneous reconstruction algorithms (HRAs) analyse rely on machine-learning low-dimensional...

10.1107/s2052252524009321 article EN cc-by IUCrJ 2024-10-15

Abstract Conformational heterogeneity of biological macromolecules is a challenge in single particle averaging (SPA). Current standard practice to employ classification and filtering methods which may allow discrete number conformational states be reconstructed. However, the conformation space accessible these molecules continuous therefore explored incompletely by small classes. Recently developed heterogeneous reconstruction algorithms (HRAs) analyse rely on machine learning employing...

10.1101/2024.04.29.590932 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-04-30
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