Evidence map›Paper›PMID 38139500›Full record

ArticleSensors (Basel, Switzerland)2023

Maximum Acceptable Tilt Angle for Point Autofocus Microscopy.

Huixu Song, Qingwei Li, Zhaoyao Shi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Huixu SongBeijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology (BJUT), Beijing 100124, China.ORCID 0000-0002-0279-4778
Qingwei LiBeijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology (BJUT), Beijing 100124, China.
Zhaoyao ShiBeijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology (BJUT), Beijing 100124, China.

Funding

National Natural Science Foundation of China 52105043R&D Program of Beijing Municipal Education Commission KM202210005034State Key Laboratory of Precision Measuring Technology and Instruments (Tianjin University) PILAB2105Young Elite Scientists Sponsorship Program by CAST 2021QNRC001
6 · The paper itself

Abstract

The complete and accurate acquisition of geometric information forms the bedrock of maintaining high-end instrument performance and monitoring product quality. It is also a prerequisite for achieving the 'precision' and 'intelligence' that the manufacturing industry aspires to achieve. Industrial microscopes, known for their high accuracy and resolution, have become invaluable tools in the precision measurement of small components. However, these industrial microscopes often struggle to demonstrate their advantages when dealing with complex shapes or large tilt angles. This paper introduces a ray-tracing model for point autofocus microscopy, and it provides the quantified relationship formula between the maximum acceptable tilt angle and the beam offset accepted in point autofocus microscopy, then analyzing the maximum acceptable tilt angle of the objects being measured. This novel approach uses the geometric features of a high-precision reference sphere to simulate the tilt angle and displacement of the surface under investigation. The research findings show that the maximum acceptable tilt angles of a point autofocus microscope vary across different measured directions. Additionally, the extent to which the maximum acceptable tilt angles are affected by the distances of the beam offset also varies. Finally, the difference between the experiment results and the theoretical results is less than 0.5°.

Indexed as

complex componentsmaximum acceptable tilt anglepoint autofocus microscopyreference spheresmall components

Identifiers

PMID38139500
PMCPMC10747673

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.