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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2407.07681 |
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| _version_ | 1866913424964845568 |
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| author | Wu, Hanzhe Chen, Danni Xiang, YiHong Jiand Gan Li, Heng Yu, Bin Qu, JunLe |
| author_facet | Wu, Hanzhe Chen, Danni Xiang, YiHong Jiand Gan Li, Heng Yu, Bin Qu, JunLe |
| contents | Among the approaches in three-dimensional (3D) single molecule localization microscopy, there are several point spread function (PSF) engineering approaches, in which depth information of molecules is encoded in 2D images. Usually,the molecules are excited sparsely in each raw image. The consequence is that the temporal resolution has to be sacrificed. In order to improve temporal resolution and ensure localization accuracy, we propose a method, SH-CS, based on light needle excitation, detection system with single helix-point spread function (SH-PSF), and compressed sensing (CS). Although the SH-CS method still has a limitation about the molecule density, it is suited for relatively dense molecules. For each light needle scanning position, an SH image of excited molecules is processed with CS algorithm to decode their axial information. Simulations demonstrated, for random distributed 1 ~ 15 molecules in depth range of 4 μm, the axial localization accuracy is 12.1 nm ~ 73.5 nm. The feasibility of this method is validated by experimental data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_07681 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Localizing axial dense emitters based onsingle-helix point spread function andcompressed sensing Wu, Hanzhe Chen, Danni Xiang, YiHong Jiand Gan Li, Heng Yu, Bin Qu, JunLe Optics Biological Physics Among the approaches in three-dimensional (3D) single molecule localization microscopy, there are several point spread function (PSF) engineering approaches, in which depth information of molecules is encoded in 2D images. Usually,the molecules are excited sparsely in each raw image. The consequence is that the temporal resolution has to be sacrificed. In order to improve temporal resolution and ensure localization accuracy, we propose a method, SH-CS, based on light needle excitation, detection system with single helix-point spread function (SH-PSF), and compressed sensing (CS). Although the SH-CS method still has a limitation about the molecule density, it is suited for relatively dense molecules. For each light needle scanning position, an SH image of excited molecules is processed with CS algorithm to decode their axial information. Simulations demonstrated, for random distributed 1 ~ 15 molecules in depth range of 4 μm, the axial localization accuracy is 12.1 nm ~ 73.5 nm. The feasibility of this method is validated by experimental data. |
| title | Localizing axial dense emitters based onsingle-helix point spread function andcompressed sensing |
| topic | Optics Biological Physics |
| url | https://arxiv.org/abs/2407.07681 |