2019
DOI: 10.1109/jstqe.2018.2846023
|View full text |Cite
|
Sign up to set email alerts
|

Common-Path Optical Coherence Tomography Using the Bessel Beam From Negative Axicon Optical Fiber Tip

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2019
2019
2025
2025

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 20 publications
(2 citation statements)
references
References 36 publications
0
2
0
Order By: Relevance
“…Axicons are a special kind of optical components with a cone-shaped phase profile, which generates a field distribution proportional to the zero-order Bessel function (non-diffracting Bessel beam). They can be used in large telescopes 27 , laser machining 28 , 29 , for medical applications 30 , 31 , or as optical tweezers 32 , 33 . Powell lenses resemble a round prism with a curved roofline and they shape a laser beam so that it stretches into a uniform line segment.…”
Section: Introductionmentioning
confidence: 99%
“…Axicons are a special kind of optical components with a cone-shaped phase profile, which generates a field distribution proportional to the zero-order Bessel function (non-diffracting Bessel beam). They can be used in large telescopes 27 , laser machining 28 , 29 , for medical applications 30 , 31 , or as optical tweezers 32 , 33 . Powell lenses resemble a round prism with a curved roofline and they shape a laser beam so that it stretches into a uniform line segment.…”
Section: Introductionmentioning
confidence: 99%
“…Multi-beam structures 31 can achieve a larger DOF by simultaneously focusing on different depths of the sample, but require complex hardware and software implementations. Additionally, non-diffracting beams such as Bessel 32,33 or Airy 34 beams can achieve large DOF and high resolution, but the imaging quality is usually limited by the severe sidelobes and low beam e ciency. In recent years, deep learning models have been used to improve the DOF 35,36 , but this requires a large amount of ground truth during training, and obtaining such data may be challenging or infeasible for certain subjects.…”
Section: Introductionmentioning
confidence: 99%