A Fast Bubble Detection Method in Microtubes Based on Pulsed Ultrasound.

Yiqing Li, Junwu Wu, Leijie Fu, Jinju Wang

Abstract read

In one paragraph

Article in Micromachines, 2021. 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

–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

1 citing paper in PubMed.

The Updated Role of Transcranial Ultrasound Neuromodulation in Ischemic Stroke: From Clinical and Basic Research.Frontiers in cellular neuroscience · 2022
Review

4 · The record

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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.

Yiqing LiSchool of Mechatronic Engineering, Xi'an Technological University, Xi'an 710021, China.

Junwu WuSchool of Mechatronic Engineering, Xi'an Technological University, Xi'an 710021, China.

Leijie FuSchool of Mechatronic Engineering, Xi'an Technological University, Xi'an 710021, China.

Jinju WangSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.

Funding

Key Research and Development Program of Shaanxi Province 2020GY-147Natural Science Foundation of Shaanxi Province 2020JQ-813

6 · The paper itself

Abstract

In the process of biological microfluidic manipulation, the bubbles generated in the tube will seriously reduce the gauging accuracy. This paper introduces an improving method that can estimate the size of microbubbles in real time. Hence, the measurement data of the liquid volume can be modified according to this method. A microbubble detector based on the pulsed-ultrasound method was studied, including the device structure and the working principle. The assessment formula of the microbubbles in the tube was derived from the simulation results, which adopted the two-phase theory. The digital image processing method was applied to fulfill the microbubble calibration. This detection method was applied to measure the microbubbles in the tube and to modify the flow volume in a timely manner. The results of the experiments showed that this method is effective at improving the microflow gauging accuracy.

Indexed as

flow gauging accuracymicrobubblepulsed-ultrasoundtwo-phase flow

Identifiers

PMID34832815

DOI10.3390/mi12111402

PMCPMC8625347

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LicenceCC BY

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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.