Evidence map›Paper›PMID 41368106›Full record

ArticleBiomedical optics express2025

Mapping of blood flow and slow speckle tissue dynamics using laser speckle contrast imaging.

Bingxue Liu, Rockwell P Tang, Emily A Long, Zahid Yaqoob, Matthew G Simkulet, Dmitry D Postnov, Şefik E Erdener, David A Boas, Xiaojun Cheng

Abstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

9 authors.

Bingxue LiuDepartment of Electrical Engineering, Boston University, Boston, Massachusetts, 02215, USA.
Rockwell P TangNeurophotonics Center, Boston University, Boston, Massachusetts, 02215, USA.
Emily A LongNeurophotonics Center, Boston University, Boston, Massachusetts, 02215, USA.
Zahid YaqoobNeurophotonics Center, Boston University, Boston, Massachusetts, 02215, USA.ORCID https://orcid.org/0000-0003-2487-9497
Matthew G SimkuletNeurophotonics Center, Boston University, Boston, Massachusetts, 02215, USA.
Dmitry D PostnovDepartment of Clinical Medicine, Center of Functionally Integrative Neuroscience, Aarhus University, 8000 Aarhus Centrum, Denmark.ORCID https://orcid.org/0000-0002-9708-8453
Şefik E ErdenerNeurophotonics Center, Boston University, Boston, Massachusetts, 02215, USA.
David A BoasDepartment of Electrical Engineering, Boston University, Boston, Massachusetts, 02215, USA.
Xiaojun ChengNeurophotonics Center, Boston University, Boston, Massachusetts, 02215, USA.ORCID https://orcid.org/0000-0002-3568-0603

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
NINDS NIH HHS R01 NS127156
6 · The paper itself

Abstract

Laser speckle contrast imaging (LSCI) is a wide-field optical technique commonly used to monitor cerebral blood flow (CBF). Recently, we have discovered that besides the fast-decorrelating signals from blood flow, LSCI can also detect slow-decorrelating signals associated with cellular activity. The ability to image these signals has significant implications for various research areas such as ischemic stroke, as it enables longitudinal monitoring of both vascular and cellular dynamics, offering new biomarkers for tissue viability, injury progression, and therapeutic response. Here, we demonstrated that epi-illumination LSCI enables the mapping of both slow speckle dynamics (SSD) for evaluating cellular dynamics and traditional fast speckle dynamics (FSD) for evaluating CBF. We found that SSD signals are much more evident with epi-illumination than with conventional oblique illumination LSCI. Using mouse models of ischemic stroke, including both permanent and transient occlusion of the distal middle cerebral artery (dMCA), we demonstrated the system's ability to track stroke progression from minutes to days post-stroke. This study establishes a powerful, label-free imaging tool for investigating both cellular and vascular health during stroke core evolution.

Identifiers

PMID41368106
PMCPMC12684006

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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.