ArticleScientific reports2016
Generalized recovery algorithm for 3D super-resolution microscopy using rotating point spread functions.
Article in Scientific reports, 2016. 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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Who cites it
5 citing papers in PubMed, 36 citations in OpenAlex.
- Three-dimensional tracking using a single-spot rotating point spread function created by a multiring spiral phase plate.Journal of biomedical optics · 2022Article
- High speed two-photon laser scanning stereomicroscopy for three-dimension tracking multiple particles simultaneously in three-dimension.Frontiers in photonics · 2022Article
- Super-resolution Microscopy for Biological Imaging.Advances in experimental medicine and biology · 2021Review
- A mechanistic examination of salting out in protein-polymer membrane interactions.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Three-Dimensional Localization of Single Molecules for Super-Resolution Imaging and Single-Particle Tracking.Chemical reviews · 2017Review
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Super-resolution microscopy with phase masks is a promising technique for 3D imaging and tracking. Due to the complexity of the resultant point spread functions, generalized recovery algorithms are still missing. We introduce a 3D super-resolution recovery algorithm that works for a variety of phase masks generating 3D point spread functions. A fast deconvolution process generates initial guesses, which are further refined by least squares fitting. Overfitting is suppressed using a machine learning determined threshold. Preliminary results on experimental data show that our algorithm can be used to super-localize 3D adsorption events within a porous polymer film and is useful for evaluating potential phase masks. Finally, we demonstrate that parallel computation on graphics processing units can reduce the processing time required for 3D recovery. Simulations reveal that, through desktop parallelization, the ultimate limit of real-time processing is possible. Our program is the first open source recovery program for generalized 3D recovery using rotating point spread functions.
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Registered trials
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