ArticleBiomedical optics express2024
3D super-resolution optical fluctuation imaging with temporal focusing two-photon excitation.
Article in Biomedical optics express, 2024. 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.
- Wide-field two-photon random illumination microscopy (2P-RIM).Science advances · 2026Article
- Breaking the 100-nm resolution barrier with multiphoton microscopy using image scanning microscopy and optical fluctuation imaging.Journal of biomedical optics · 2026Article
- STIMscope: centimeter-scale all-optical imaging and patterned optogenetic manipulation at single-cell resolution.bioRxiv : the preprint server for biology · 2026Article
- 3D super-resolution optical fluctuation imaging with temporal focusing two-photon excitation.Biomedical optics express · 2024Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
3D super-resolution fluorescence microscopy typically requires sophisticated setups, sample preparation, or long measurements. A notable exception, SOFI, only requires recording a sequence of frames and no hardware modifications whatsoever but being a wide-field method, it faces problems in thick, dense samples. We combine SOFI with temporal focusing two-photon excitation - the wide-field method that is capable of exciting a thin slice in 3D volume. Temporal focusing is simple to implement whenever the excitation path of the microscope can be accessed. The implementation of SOFI is straightforward. By merging these two methods, we obtain super-resolved 3D images of neurons stained with quantum dots. Our approach offers reduced bleaching of out-of-focus fluorescent probes and an improved signal-to-background ratio that can be used when robust resolution improvement is required in thick, dense samples.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.