Evidence map›Paper›PMID 30182579›Full record

ArticleJournal of biomedical optics2018

Aberration correction method based on double-helix point spread function.

Zhaojun Wang, Yanan Cai, Yansheng Liang, Dan Dan, Baoli Yao, Ming Lei

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhaojun WangChinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, State Key Laboratory, China.
Yanan CaiChinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, State Key Laboratory, China.
Yansheng LiangChinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, State Key Laboratory, China.
Dan DanChinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, State Key Laboratory, China.
Baoli YaoChinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, State Key Laboratory, China.
Ming LeiChinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, State Key Laboratory, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point spread function (PSF) engineering has met with lots of interest in various optical imaging techniques, including super-resolution microscopy, microparticle tracking, and extended depth-of-field microscopy. The intensity distributions of the modified PSFs often suffer from deteriorations caused by system aberrations, which greatly degrade the image contrast, resolution, or localization precision. We present an aberration correction method using a spiral-phase-based double-helix PSF as an aberration indicator, which is sensitive and quantitatively correlated to the spherical aberration, coma, and astigmatism. Superior to the routine iteration-based correction methods, the presented approach is iteration-free and the aberration coefficients can be directly calculated with the measured parameters, relieving the computing burden. The validity of the method is verified by both examining the intensity distribution of the conventional Gaussian PSF in three dimensions and observing muntjac skin fibroblast cells. This iteration-free correction method has a potential application in PSF engineering systems equipped with a spatial light modulator.

Indexed as

AlgorithmsAstigmatismComputer SimulationDiagnosis, Computer-AssistedHumansImaging, Three-DimensionalMicroscopyOptics and Photonicsaberration correctiondouble-helix point spread functioniteration-free

Identifiers

PMID30182579
PMCPMC6975280

What OpenQuestion holds

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Registered trials

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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.