ReviewCellular and molecular life sciences : CMLS2015
Microscale imaging of cilia-driven fluid flow.
Review in Cellular and molecular life sciences : CMLS, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed, 30 citations in OpenAlex.
- Form and function in biological filaments: a physicist's review.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Review
- Optical Imaging of Cilia in the Head and Neck.Journal of clinical medicine · 2025Review
- Cellular mechanisms of monozygotic twinning: clues from assisted reproduction.Human reproduction update · 2024Review
- Revolutionizing the female reproductive system research using microfluidic chip platform.Journal of nanobiotechnology · 2023Review
- Article
- Light-sheet laser speckle imaging for cilia motility assessment.Computational and structural biotechnology journal · 2023Article
- Self-organized canals enable long-range directed material transport in bacterial communities.eLife · 2022Article
- Self-organization of swimmers drives long-range fluid transport in bacterial colonies.Nature communications · 2019Article
- Adolescent idiopathic scoliosis associated POC5 mutation impairs cell cycle, cilia length and centrosome protein interactions.PloS one · 2019Article
- Redox imaging and optical coherence tomography of the respiratory ciliated epithelium.Journal of biomedical optics · 2019Article
- Microfluidic pumping using artificial magnetic cilia.Microsystems & nanoengineering · 2018Article
- Ultrahigh-speed, phase-sensitive full-field interferometric confocal microscopy for quantitative microscale physiology.Biomedical optics express · 2016Article
- Particle streak velocimetry-optical coherence tomography: a novel method for multidimensional imaging of microscale fluid flows.Biomedical optics express · 2016Article
- Three-dimensional, three-vector-component velocimetry of cilia-driven fluid flow using correlation-based approaches in optical coherence tomography.Biomedical optics express · 2015Article
- Quantitative optical coherence tomography imaging of intermediate flow defect phenotypes in ciliary physiology and pathophysiology.Journal of biomedical optics · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Cilia-driven fluid flow is important for multiple processes in the body, including respiratory mucus clearance, gamete transport in the oviduct, right-left patterning in the embryonic node, and cerebrospinal fluid circulation. Multiple imaging techniques have been applied toward quantifying ciliary flow. Here, we review common velocimetry methods of quantifying fluid flow. We then discuss four important optical modalities, including light microscopy, epifluorescence, confocal microscopy, and optical coherence tomography, that have been used to investigate cilia-driven flow.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.