Evidence map›Paper›PMID 29176039›Full record

ArticlePhysics in medicine and biology2018

Diffusion tensor optical coherence tomography.

Daniel L Marks, Richard L Blackmon, Amy L Oldenburg

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2018. 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
0.4field-weighted citation impact, top 38% 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, 8 citations in OpenAlex.

  1. Review
  2. Journal of biomedical optics · 2024
    Article
  3. 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

3 authors at 1 institution in 1 country.

Daniel L MarksDepartment of Electrical and Computer Engineering, Duke University, 101 Science Drive, Durham NC 27708, United States of America.
Richard L BlackmonDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America.
Amy L OldenburgDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America.ORCID 0000-0002-2642-8350
Duke University · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Imaging nanophysical properties of actively transporting bronchial mucusR21HL130901 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI OLDENBURG, AMY L · 2016 to 2017
$418k
Development of a method for in situ nanorheology of human airway mucusR21HL111968 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI OLDENBURG, AMY L · 2012 to 2013
$392k
Quantitative Motility Phenotyping of Basal Breast Cancer in a 3D MicroenvironmentR21CA179204 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI OLDENBURG, AMY L · 2014 to 2015
$343k
NCI NIH HHS R21 CA179204NHLBI NIH HHS R21 HL111968NHLBI NIH HHS R21 HL130901NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

In situ measurements of diffusive particle transport provide insight into tissue architecture, drug delivery, and cellular function. Analogous to diffusion-tensor magnetic resonance imaging (DT-MRI), where the anisotropic diffusion of water molecules is mapped on the millimeter scale to elucidate the fibrous structure of tissue, here we propose diffusion-tensor optical coherence tomography (DT-OCT) for measuring directional diffusivity and flow of optically scattering particles within tissue. Because DT-OCT is sensitive to the sub-resolution motion of Brownian particles as they are constrained by tissue macromolecules, it has the potential to quantify nanoporous anisotropic tissue structure at micrometer resolution as relevant to extracellular matrices, neurons, and capillaries. Here we derive the principles of DT-OCT, relating the detected optical signal from a minimum of six probe beams with the six unique diffusion tensor and three flow vector components. The optimal geometry of the probe beams is determined given a finite numerical aperture, and a high-speed hardware implementation is proposed. Finally, Monte Carlo simulations are employed to assess the ability of the proposed DT-OCT system to quantify anisotropic diffusion of nanoparticles in a collagen matrix, an extracellular constituent that is known to become highly aligned during tumor development.

Indexed as

Monte Carlo MethodAnisotropyCells, CulturedCollagenDiffusion Tensor ImagingExtracellular MatrixFibroblastsHumansCollagen

Identifiers

PMID29176039
PMCPMC5773385
OpenAlexW2770060355

What OpenQuestion holds

Textmetadata
LicenceTDM
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.