Evidence map›Paper›PMID 32575631›Full record

ArticleSensors (Basel, Switzerland)2020

Implementation and Optimization of a Dual-confocal Autofocusing System.

Chia-Ming Jan, Chien-Sheng Liu, Jyun-Yi Yang

Open access · goldAbstract readLetter
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 21% of its field
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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
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

3 authors at 3 institutions in 1 country.

Chia-Ming JanMetal Industries Research and Development Centre, Kaohsiung City 81160, Taiwan.ORCID 0000-0002-7690-5434
Chien-Sheng LiuDepartment of Mechanical Engineering, National Cheng Kung University, Tainan City 70101, Taiwan.ORCID 0000-0002-3537-5828
Jyun-Yi YangDepartment of Mechanical Engineering, National Chung Cheng University, Chiayi County 62102, Taiwan.
Metal Industries Research & Development Centre · TWNational Cheng Kung University · TWNational Chung Cheng University · TW

Funding

Ministry of Science and Technology, Taiwan MOST 105-2221-E-006-265-MY5, 106-2628-E-006-010-MY3, and 108-2218-E-002-071
6 · The paper itself

Abstract

This paper describes the implementation and optimization of a dual-confocal autofocusing system that can easily describe a real-time position by measuring the response signal (i.e., intensity) of the front and the rear focal points of the system. This is a new and systematic design strategy that would make it possible to use this system for other applications while retrieving their characteristic curves experimentally; there is even a good chance of this technique becoming the gold standard for optimizing these dual-confocal configurations. We adopt two indexes to predict our system performance and discover that the rear focal position and its physical design are major factors. A laboratory-built prototype was constructed and demonstrated to ensure that its optimization was valid. The experimental results showed that a total optical difference from 150 to 400 mm significantly affected the effective volume of our designed autofocusing system. The results also showed that the sensitivity of the dual-confocal autofocusing system is affected more by the position of the rear focal point than the position of the front focal point. The final optimizing setup indicated that the rear focal length and the front focal length should be set at 200 and 100 mm, respectively. In addition, the characteristic curve between the focus error signal and its position could successfully define the exact position by a polynomial equation of the sixth order, meaning that the system can be straightforwardly applied to an accurate micro-optical auto-focusing system.

Indexed as

autofocusingautofocusing systemconfocaldual-confocaloptical optimization

Identifiers

PMID32575631
PMCPMC7349031
OpenAlexW3036526551

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.