Evidence map›Paper›PMID 32403635›Full record

ArticleOptics express2020

Beyond diffuse correlations: deciphering random flow in time-of-flight resolved light dynamics.

V N Du Le, Vivek J Srinivasan

Open access · goldAbstract read
In one paragraph

Article in Optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 13 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

2 authors.

V N Du Le
Vivek J Srinivasan

Funding

Human Brain Interferometers for Better Blood Flow MonitoringR01EB029747 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SRINIVASAN, VIVEK JAY · 2020 to 2023
$2.2M
Imaging Neuronal and Capillary Dysfunction Deep in the Rodent Brain in vivo Using 1700 NM Optical Coherence Microscopy and Tracer-Based KineticsR01NS094681 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SRINIVASAN, VIVEK JAY · 2015 to 2019
$1.6M
Interferometric Near-Infrared Spectroscopy for Tissue Flowmetry and OximetryR21NS105043 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SRINIVASAN, VIVEK JAY · 2017 to 2018
$432k
Improving penetration depth and spatial resolution for in vivo deep imaging of mouse brain using 2200 nm Optical Coherence MicroscopyR03EB023591 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SRINIVASAN, VIVEK JAY · 2017 to 2018
$157k
NIBIB NIH HHS R01 EB029747NIBIB NIH HHS R03 EB023591NINDS NIH HHS R01 NS094681NINDS NIH HHS R21 NS105043
6 · The paper itself

Abstract

Diffusing wave spectroscopy (DWS) and diffuse correlation spectroscopy (DCS) can assess blood flow index (BFI) of biological tissue with multiply scattered light. Though the main biological function of red blood cells (RBCs) is advection, in DWS/DCS, RBCs are assumed to undergo Brownian motion. To explain this discrepancy, we critically examine the cumulant approximation, a major assumption in DWS/DCS. We present a precise criterion for validity of the cumulant approximation, and in realistic tissue models, identify conditions that invalidate it. We show that, in physiologically relevant scenarios, the first cumulant term for random flow and second cumulant term for Brownian motion alone can cancel each other. In such circumstances, assuming pure Brownian motion of RBCs and the first cumulant approximation, a routine practice in DWS/DCS of BFI, can yield good agreement with data, but only because errors due to two incorrect assumptions cancel out. We conclude that correctly assessing random flow from scattered light dynamics requires going beyond the cumulant approximation and propose a more accurate model to do so.

Identifiers

PMID32403635
PMCPMC7340374
OpenAlexW3003747107

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.