ArticleBiomedical optics express2019
Gaussian process post-processing for particle tracking velocimetry.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed.
- Germ layer-specific interaction of ion channels and transporters controls membrane potential and left-right patterning in Xenopus tropicalis.Communications biology · 2026Article
- A microscopy-based CRISPR screening platform enables organellar functional genomics and illuminates ciliary biology.Developmental cell · 2026Article
- Ccdc57 regulates cilia and left-right patterning in Xenopus.Biology open · 2026Article
- Optical Imaging of Cilia in the Head and Neck.Journal of clinical medicine · 2025Review
- CC2D1A causes ciliopathy, intellectual disability, heterotaxy, renal dysplasia, and abnormal CSF flow.Life science alliance · 2024Article
- CFAP45, a heterotaxy and congenital heart disease gene, affects cilia stability.Developmental biology · 2023Article
- 3-D compressed sensing optical coherence tomography using predictive coding.Biomedical optics express · 2021Article
- In Xenopus ependymal cilia drive embryonic CSF circulation and brain development independently of cardiac pulsatile forces.Fluids and barriers of the CNS · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Particle tracking velocimetry (PTV) gives quantitative estimates of fluid flow velocities from images. But particle tracking is a complicated problem, and it often produces results that need substantial post-processing. We propose a novel Gaussian process regression-based post-processing step for PTV: The method smooths ("denoises") and densely interpolates velocity estimates while rejecting track irregularities. The method works under a large range of particle densities and fluid velocities. In addition, the method calculates standard deviances (error bars) for the velocity estimates, opening the possibility of propagating the standard deviances through subsequent processing and analysis. The accuracy of the method is experimentally evaluated using Optical Coherence Tomography images of particles in laminar flow in a pipe phantom. Following this, the method is used to quantify cilia-driven fluid flow and vorticity patterns in a developing
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Registered trials
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