ArticleScientific reports2023
Detecting continuous structural heterogeneity in single-molecule localization microscopy data.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Adversarial Erasing Enhanced Multiple Instance Learning (siMILe): Discriminative Identification of Oligomeric Protein Structures in Single Molecule Localization Microscopy.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2026Article
- Super-Resolution Imaging of Nuclear Pore Responses to Mechanical Stress and Energy Depletion.Viruses · 2026Article
- Detecting continuous structural heterogeneity in single molecule localization microscopy data with a point cloud variational auto-encoder.Scientific reports · 2025Article
- Smart 3D super-resolution microscopy reveals the architecture of the RNA scaffold in a nuclear body.Nature communications · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Fusion of multiple chemically identical complexes, so-called particles, in localization microscopy, can improve the signal-to-noise ratio and overcome under-labeling. To this end, structural homogeneity of the data must be assumed. Biological heterogeneity, however, could be present in the data originating from distinct conformational variations or (continuous) variations in particle shapes. We present a prior-knowledge-free method for detecting continuous structural variations with localization microscopy. Detecting this heterogeneity leads to more faithful fusions and reconstructions of the localization microscopy data as their heterogeneity is taken into account. In experimental datasets, we show the continuous variation of the height of DNA origami tetrahedrons imaged with 3D PAINT and of the radius of Nuclear Pore Complexes imaged in 2D with STORM. In simulation, we study the impact on the heterogeneity detection pipeline of Degree Of Labeling and of structural variations in the form of two independent modes.
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Registered trials
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