Evidence map›Paper›PMID 40871843›Full record

ReviewSensors (Basel, Switzerland)2025

Particle Imaging Velocimetry with Color-Encoded Illumination: A Review.

Yizhu Wang, Xiaoming He, Yuan Tian, Chang Liu, Depeng Wang

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Yizhu WangCollege of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Xiaoming HeCollege of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Yuan TianDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Chang LiuCollege of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Depeng WangCollege of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

Funding

Key Laboratory of Intake and Exhaust Technology, Ministry of Education CEPE2024015
6 · The paper itself

Abstract

High-resolution and three-dimensional measurements at large scales represent a crucial frontier in flow diagnostics. Color-encoded illumination particle imaging velocimetry has emerged as a promising non-contact volumetric measurement technique in recent years. By employing chromatic gradient illumination to excite tracer particles, this method encodes depth information into color signatures, which are then correlated with two-dimensional positional data in images to reconstruct three-dimensional flow fields using a single camera. This review first introduces the fundamental principles of particle image velocimetry/particle tracking velocimetry and chromatic-depth encoding. Subsequently, we categorize color-depth-encoded particle velocimetry methods based on different illumination strategies, including LED-based, projector-based, and laser-based systems, discussing their respective configurations and representative applications. Finally, we summarize the current research progress in color-encoded particle image velocimetry techniques, provide a comparative analysis of their advantages and limitations, and discuss existing challenges along with future development prospects.

Indexed as

color-encoded illuminationflow measurementparticle image velocimetry

Identifiers

PMID40871843
PMCPMC12390468

What OpenQuestion holds

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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.