Development of Deep-Learning-Based Single-Molecule Localization Image Analysis
Recent developments in super-resolution fluorescence microscopic techniques (SRM) have allowed for nanoscale imaging that greatly facilitates our understanding of nanostructures. However, the performance of single-molecule localization microscopy (SMLM) is significantly restricted by the image analy...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | International Journal of Molecular Sciences |
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| Online Access: | https://www.mdpi.com/1422-0067/23/13/6896 |
| _version_ | 1797479904365772800 |
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| author | Yoonsuk Hyun Doory Kim |
| author_facet | Yoonsuk Hyun Doory Kim |
| author_sort | Yoonsuk Hyun |
| collection | DOAJ |
| description | Recent developments in super-resolution fluorescence microscopic techniques (SRM) have allowed for nanoscale imaging that greatly facilitates our understanding of nanostructures. However, the performance of single-molecule localization microscopy (SMLM) is significantly restricted by the image analysis method, as the final super-resolution image is reconstructed from identified localizations through computational analysis. With recent advancements in deep learning, many researchers have employed deep learning-based algorithms to analyze SMLM image data. This review discusses recent developments in deep-learning-based SMLM image analysis, including the limitations of existing fitting algorithms and how the quality of SMLM images can be improved through deep learning. Finally, we address possible future applications of deep learning methods for SMLM imaging. |
| first_indexed | 2024-03-09T21:52:28Z |
| format | Article |
| id | doaj.art-10169ba3e9a04b358c8cfbf9b5a70a30 |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-09T21:52:28Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-10169ba3e9a04b358c8cfbf9b5a70a302023-11-23T20:04:24ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672022-06-012313689610.3390/ijms23136896Development of Deep-Learning-Based Single-Molecule Localization Image AnalysisYoonsuk Hyun0Doory Kim1Department of Mathematics, Inha University, Incheon 22212, KoreaDepartment of Chemistry, Hanyang University, Seoul 04763, KoreaRecent developments in super-resolution fluorescence microscopic techniques (SRM) have allowed for nanoscale imaging that greatly facilitates our understanding of nanostructures. However, the performance of single-molecule localization microscopy (SMLM) is significantly restricted by the image analysis method, as the final super-resolution image is reconstructed from identified localizations through computational analysis. With recent advancements in deep learning, many researchers have employed deep learning-based algorithms to analyze SMLM image data. This review discusses recent developments in deep-learning-based SMLM image analysis, including the limitations of existing fitting algorithms and how the quality of SMLM images can be improved through deep learning. Finally, we address possible future applications of deep learning methods for SMLM imaging.https://www.mdpi.com/1422-0067/23/13/6896single-molecule localization microscopysuper-resolution microscopydeep learningcomputer vision |
| spellingShingle | Yoonsuk Hyun Doory Kim Development of Deep-Learning-Based Single-Molecule Localization Image Analysis International Journal of Molecular Sciences single-molecule localization microscopy super-resolution microscopy deep learning computer vision |
| title | Development of Deep-Learning-Based Single-Molecule Localization Image Analysis |
| title_full | Development of Deep-Learning-Based Single-Molecule Localization Image Analysis |
| title_fullStr | Development of Deep-Learning-Based Single-Molecule Localization Image Analysis |
| title_full_unstemmed | Development of Deep-Learning-Based Single-Molecule Localization Image Analysis |
| title_short | Development of Deep-Learning-Based Single-Molecule Localization Image Analysis |
| title_sort | development of deep learning based single molecule localization image analysis |
| topic | single-molecule localization microscopy super-resolution microscopy deep learning computer vision |
| url | https://www.mdpi.com/1422-0067/23/13/6896 |
| work_keys_str_mv | AT yoonsukhyun developmentofdeeplearningbasedsinglemoleculelocalizationimageanalysis AT doorykim developmentofdeeplearningbasedsinglemoleculelocalizationimageanalysis |