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Localizing axial dense emitters based on single-helix point spread function and compressed sensing

Wu Hanzhe et al · Wiley · 2025

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3-D near-field imaging of guided modes in nanophotonic waveguides

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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 12.1–73.5 nm. The feasibility of this method is validated with a designed 3D sample composed of fluorescent beads.

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APA 7

al, W. H. E. (2025). Localizing axial dense emitters based on single-helix point spread function and compressed sensing. https://doi.org/10.1515/nanoph-2024-0516

MLA

al, Wu Hanzhe et. "Localizing axial dense emitters based on single-helix point spread function and compressed sensing." 2025. https://doi.org/10.1515/nanoph-2024-0516.

Chicago

al, Wu Hanzhe et. 2025. "Localizing axial dense emitters based on single-helix point spread function and compressed sensing.". https://doi.org/10.1515/nanoph-2024-0516.

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al, W. H. E. 2025, Localizing axial dense emitters based on single-helix point spread function and compressed sensing, Wiley, available at: https://doi.org/10.1515/nanoph-2024-0516 [Accessed 7 Aug. 2026].

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Title
Localizing axial dense emitters based on single-helix point spread function and compressed sensing
Author / contributors
Wu Hanzhe et al
Publisher
Wiley
Publication year
2025
ISSN
2192-8614
ISSN
2192-8614
Language
English

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