Evidence map›Paper›PMID 33187147›Full record

ReviewMicromachines2020

Bessel Beam: Significance and Applications-A Progressive Review.

Svetlana Nikolaevna Khonina, Nikolay Lvovich Kazanskiy, Sergey Vladimirovich Karpeev, Muhammad Ali Butt

Abstract readReview
In one paragraph

Review in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
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  5. Metalens for passive generation of a droplet Bessel beam.Microsystems & nanoengineering · 2025
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  9. Review
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  13. Review
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  17. Review
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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

4 authors.

Svetlana Nikolaevna KhoninaDepartment of Technical Cybernetics, Samara National Research University, 443086 Samara, Russia.ORCID 0000-0001-6765-4373
Nikolay Lvovich KazanskiyDepartment of Technical Cybernetics, Samara National Research University, 443086 Samara, Russia.ORCID 0000-0002-0180-7522
Sergey Vladimirovich KarpeevDepartment of Technical Cybernetics, Samara National Research University, 443086 Samara, Russia.
Muhammad Ali ButtDepartment of Technical Cybernetics, Samara National Research University, 443086 Samara, Russia.ORCID 0000-0003-0829-4886

Funding

Russian Academy of Sciences 007-GZ/Ch3363/26Russian Foundation for Basic Research 18-29-20045, 20-07-00505
6 · The paper itself

Abstract

Diffraction is a phenomenon related to the wave nature of light and arises when a propagating wave comes across an obstacle. Consequently, the wave can be transformed in amplitude or phase and diffraction occurs. Those parts of the wavefront avoiding an obstacle form a diffraction pattern after interfering with each other. In this review paper, we have discussed the topic of non-diffractive beams, explicitly Bessel beams. Such beams provide some resistance to diffraction and hence are hypothetically a phenomenal alternate to Gaussian beams in several circumstances. Several outstanding applications are coined to Bessel beams and have been employed in commercial applications. We have discussed several hot applications based on these magnificent beams such as optical trapping, material processing, free-space long-distance self-healing beams, optical coherence tomography, superresolution, sharp focusing, polarization transformation, increased depth of focus, birefringence detection based on astigmatic transformed BB and encryption in optical communication. According to our knowledge, each topic presented in this review is justifiably explained.

Indexed as

depth of focusfree-space long-distance self-healing beamsmaterial processingoptical coherence tomographyoptical trappingsharp focusing and polarization transformationsuperresolution

Identifiers

PMID33187147
PMCPMC7697033

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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.