Evidence map›Paper›PMID 40677814›Full record

ArticleBiomedical optics express2025

Direct blood flow velocity measurements of zebrafish cerebral vessels with a dual-mode light-sheet microscope.

Yifan Zhang, Chong Chen, Yao Tan, Yanjie Lu, Xuefei Chen, Guang Yang, Hui Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 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

7 authors.

Yifan ZhangSchool of Biomedical Engineering (Suzhou), University of Science and Technology of China, Suzhou 215163, Jiangsu, China.
Chong ChenSchool of Biomedical Engineering (Suzhou), University of Science and Technology of China, Suzhou 215163, Jiangsu, China.ORCID https://orcid.org/0000-0002-6814-0013
Yao TanSchool of Biomedical Engineering (Suzhou), University of Science and Technology of China, Suzhou 215163, Jiangsu, China.
Yanjie LuLaboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.
Xuefei ChenLaboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.
Guang YangJiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, Jiangsu, China.
Hui LiSchool of Biomedical Engineering (Suzhou), University of Science and Technology of China, Suzhou 215163, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterization of cerebral blood flow is critical to studying brain function and disorders. We report a method for directly measuring zebrafish cerebral blood flow velocity in 3D. A dual-mode light sheet microscopy combined with structured illumination was developed to image zebrafish 3D brain vasculature in structured illumination mode and to trace the blood cells in fast imaging mode at the same region. Evans blue (EB) was injected into the heart of zebrafish to visualize the vessels, while the blood cells appeared to be dark in the vessels. Our approach significantly improves imaging speed to 100 Hz. Algorithms were developed to trace the blood cells and match the flow velocity to vascular structures. The blood flow velocity in the cerebral microvessels at different depths was obtained for zebrafish up to 8 days post-fertilization (dpf). The flow velocity and flux in "Y" shaped and curved vessels were analyzed.

Identifiers

PMID40677814
PMCPMC12265504

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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.