Detecting structural heterogeneity in single-molecule localization microscopy data
Particle fusion can improve signal-to-noise ratio in single molecule localization microscopy, but is limited by structural heterogeneity. Here, the authors demonstrate an unsupervised classification method that differentiates structurally different DNA origami structures without prior knowledge.
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-06-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-24106-8 |
| _version_ | 1818722500471685120 |
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| author | Teun A.P.M. Huijben Hamidreza Heydarian Alexander Auer Florian Schueder Ralf Jungmann Sjoerd Stallinga Bernd Rieger |
| author_facet | Teun A.P.M. Huijben Hamidreza Heydarian Alexander Auer Florian Schueder Ralf Jungmann Sjoerd Stallinga Bernd Rieger |
| author_sort | Teun A.P.M. Huijben |
| collection | DOAJ |
| description | Particle fusion can improve signal-to-noise ratio in single molecule localization microscopy, but is limited by structural heterogeneity. Here, the authors demonstrate an unsupervised classification method that differentiates structurally different DNA origami structures without prior knowledge. |
| first_indexed | 2024-12-17T20:55:37Z |
| format | Article |
| id | doaj.art-fca66482b21f4b50b38e7989abd579f0 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-17T20:55:37Z |
| publishDate | 2021-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-fca66482b21f4b50b38e7989abd579f02022-12-21T21:32:53ZengNature PortfolioNature Communications2041-17232021-06-011211810.1038/s41467-021-24106-8Detecting structural heterogeneity in single-molecule localization microscopy dataTeun A.P.M. Huijben0Hamidreza Heydarian1Alexander Auer2Florian Schueder3Ralf Jungmann4Sjoerd Stallinga5Bernd Rieger6Department of Imaging Physics, Delft University of TechnologyDepartment of Imaging Physics, Delft University of TechnologyFaculty of Physics and Center for Nanoscience, Ludwig Maximilian UniversityFaculty of Physics and Center for Nanoscience, Ludwig Maximilian UniversityFaculty of Physics and Center for Nanoscience, Ludwig Maximilian UniversityDepartment of Imaging Physics, Delft University of TechnologyDepartment of Imaging Physics, Delft University of TechnologyParticle fusion can improve signal-to-noise ratio in single molecule localization microscopy, but is limited by structural heterogeneity. Here, the authors demonstrate an unsupervised classification method that differentiates structurally different DNA origami structures without prior knowledge.https://doi.org/10.1038/s41467-021-24106-8 |
| spellingShingle | Teun A.P.M. Huijben Hamidreza Heydarian Alexander Auer Florian Schueder Ralf Jungmann Sjoerd Stallinga Bernd Rieger Detecting structural heterogeneity in single-molecule localization microscopy data Nature Communications |
| title | Detecting structural heterogeneity in single-molecule localization microscopy data |
| title_full | Detecting structural heterogeneity in single-molecule localization microscopy data |
| title_fullStr | Detecting structural heterogeneity in single-molecule localization microscopy data |
| title_full_unstemmed | Detecting structural heterogeneity in single-molecule localization microscopy data |
| title_short | Detecting structural heterogeneity in single-molecule localization microscopy data |
| title_sort | detecting structural heterogeneity in single molecule localization microscopy data |
| url | https://doi.org/10.1038/s41467-021-24106-8 |
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