Evidence map›Paper›PMID 36495178›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2023

Measuring capillary flow dynamics using interlaced two-photon volumetric scanning.

John T Giblin, Seong-Wook Park, John Jiang, Kıvılcım Kılıç, Sreekanth Kura, Jianbo Tang, David A Boas, Ichun A Chen

Open access · greenAbstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

John T GiblinNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID 0000-0002-4483-2971
Seong-Wook ParkNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID 0000-0002-9966-1583
John JiangNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Kıvılcım KılıçNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Sreekanth KuraNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Jianbo TangDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China.
David A BoasNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Ichun A ChenNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Boston University · USSouthern University of Science and Technology · CN

Funding

Neurophotonic Advances for Mechanistic Investigation of the Role of Capillary Dysfunction in Stroke RecoveryR01NS127156 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI David A Boas · 2022 to 2026
$3.3M
The impact of microvascular (dys)regulation on cerebral flow and oxygen heterogeneityR01NS108472 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BOAS, DAVID A, SCHAFFER, CHRIS B · 2018 to 2022
$3.2M
NINDS NIH HHS R01 NS108472NINDS NIH HHS R01 NS127156
6 · The paper itself

Abstract

Two photon microscopy and optical coherence tomography (OCT) are two standard methods for measuring flow speeds of red blood cells in microvessels, particularly in animal models. However, traditional two photon microscopy lacks the depth of field to adequately capture the full volumetric complexity of the cerebral microvasculature and OCT lacks the specificity offered by fluorescent labeling. In addition, the traditional raster scanning technique utilized in both modalities requires a balance of image frame rate and field of view, which severely limits the study of RBC velocities in the microvascular network. Here, we overcome this by using a custom two photon system with an axicon based Bessel beam to obtain volumetric images of the microvascular network with fluorescent specificity. We combine this with a novel scan pattern that generates pairs of frames with short time delay sufficient for tracking red blood cell flow in capillaries. We track RBC flow speeds in 10 or more capillaries simultaneously at 1 Hz in a 237 µm × 237 µm × 120 µm volume and quantified both their spatial and temporal variability in speed. We also demonstrate the ability to track flow speed changes around stalls in capillary flow and measure to 300 µm in depth.

Indexed as

CapillariesCerebrovascular CirculationAnimalsBlood Flow VelocityBrainMicrovesselsBlood flowcapillaryflow heterogeneitystalltwo-photon microscopy

Identifiers

PMID36495178
PMCPMC10063827
OpenAlexW4311023651

What OpenQuestion holds

Textmetadata
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.