Evidence map›Paper›PMID 42164429›Full record

ArticleOptica2026

Single-scan adaptive optics-enabled quantitative optical coherence tomography angiography for absolute three-dimensional retinal blood flow mapping.

Achyut J Raghavendra, Osamah J Saeedi, Daniel X Hammer, Zhuolin Liu

Abstract read
In one paragraph

Article in Optica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Achyut J RaghavendraCenter for Devices and Radiological Health (CDRH), U.S. Food and Drug Administration, Silver Spring, Maryland 20993, USA.ORCID 0000-0002-2463-4580
Osamah J SaeediDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA.
Daniel X HammerCenter for Devices and Radiological Health (CDRH), U.S. Food and Drug Administration, Silver Spring, Maryland 20993, USA.ORCID 0000-0003-0532-1914
Zhuolin LiuCenter for Devices and Radiological Health (CDRH), U.S. Food and Drug Administration, Silver Spring, Maryland 20993, USA.ORCID 0000-0001-8019-2054

Funding

Direct Measures of Retinal Blood Flow and Autoregulation as Robust Biomarkers for Early GlaucomaR01EY031731 · NEI · UNIVERSITY OF MARYLAND BALTIMORE · PI SAEEDI, OSAMAH JAWAID · 2021 to 2025
$1.6M
Intramural FDA HHS FD999999NEI NIH HHS R01 EY031731
6 · The paper itself

Abstract

Accurate measurement of blood flow is critical for understanding metabolic function and disease progression, particularly in the retina, where conditions such as diabetic retinopathy, macular degeneration, and glaucoma are closely linked to impairment in microvascular circulation. However, current imaging techniques, including optical coherence tomography angiography (OCTA) and Doppler OCT, do not generally provide direct and absolute blood flow measurements, particularly at the capillary level. Adoption of adaptive optics (AO) and high-speed swept-source lasers in OCT systems has enabled video-rate volumetric acquisition with the ability to resolve individual red blood cells (RBC). Here, we present a quantitative AO-OCTA approach that enables 3D blood flow mapping by integrating OCTA-based vessel morphology with a 3D Radon transform of RBC streaks to measure cell velocity from the raw spatio-temporal OCT data. We describe a complete post-processing pipeline to determine single-cell velocity, vessel diameter, and flow rate using a single scan. We demonstrate depth-resolved flow rates across retinal vessels with diameters from 5 to 120 μm and velocities ranging from 0.5 to 54 mm/s, capturing the wide range of flow dynamics in the human retina. Our methodology is a powerful tool for quantitative blood flow imaging, establishing a robust method for noninvasive, high-resolution microvascular flow quantification with multiple potential applications in biomedical research and clinical diagnostics.

Identifiers

PMID42164429
PMCPMC13185136

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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.