ArticleOptics letters2020
Three-dimensional nanoscale localization of point-like objects using self-interference digital holography.
Article in Optics letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Self-interference digital holography with computational aberration correction.Optics express · 2024Article
- Roadmap on computational methods in optical imaging and holography [invited].Applied physics. B, Lasers and optics · 2024Review
- Optimizing self-interference digital holography for single-molecule localization.Optics express · 2023Article
- Roadmap on Recent Progress in FINCH Technology.Journal of imaging · 2021Review
- Fundamental precision bounds for three-dimensional optical localization microscopy using self-interference digital holography.Biomedical optics express · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
We propose localizing point-like fluorescent emitters in three dimensions with nanometer precision throughout large volumes using self-interference digital holography (SIDH). SIDH enables imaging of incoherently emitting objects over large axial ranges without refocusing, and single molecule localization techniques allow sub-50 nm resolution in the lateral and axial dimensions. We demonstrate three-dimensional localization with SIDH by imaging 100 and 40 nm fluorescent nanospheres. With 49,000 photons detected, SIDH achieves a localization precision of 5 nm laterally and 40 nm axially. We are able to detect the nanospheres from as few as 13,000 detected photons.
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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.