Evidence map›Paper›PMID 33670276›Full record

ArticleSensors (Basel, Switzerland)2021

Methods and Limits for Micro Scale Blood Vessel Flow Imaging in Scattering Media by Optical Feedback Interferometry: Application to Human Skin.

Adam Quotb, Reza Atashkhooei, Simone Magaletti, Francis Jayat, Clement Tronche, Julien Goechnahts, Julien Perchoux

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Adam QuotbLAAS-CNRS, Université de Toulouse, CNRS, INP-ENSEEIHT, 31400 Toulouse, France.
Reza AtashkhooeiCentre for the Development of Sensors, Instruments and Systems, Universitat Politècnica deCatalunya (UPC-CD6), Rambla Sant Nebridi, 10, E08222 Terrassa, Spain.
Simone MagalettiLAAS-CNRS, Université de Toulouse, CNRS, INP-ENSEEIHT, 31400 Toulouse, France.
Francis JayatLAAS-CNRS, Université de Toulouse, CNRS, INP-ENSEEIHT, 31400 Toulouse, France.
Clement TroncheLAAS-CNRS, Université de Toulouse, CNRS, INP-ENSEEIHT, 31400 Toulouse, France.
Julien GoechnahtsLAAS-CNRS, Université de Toulouse, CNRS, INP-ENSEEIHT, 31400 Toulouse, France.
Julien PerchouxLAAS-CNRS, Université de Toulouse, CNRS, INP-ENSEEIHT, 31400 Toulouse, France.ORCID 0000-0003-2934-5048

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At the micrometric scale, vessels or skin capillaries network architecture can provide useful information for human health management. In this paper, from simulation to in vitro, we investigate some limits and interests of optical feedback interferometry (OFI) for blood flow imaging of skin vascularization. In order to analyze the tissue scattering effect on OFI performances, a series of skin-tissue simulating optical phantoms have been designed, fabricated and characterized. The horizontal (2D) and vertical (depth penetration) sensing resolution of the OFI sensor have been estimated. The experimental results that we present on this study are showing a very good accordance with theoretical models. In the case of a skin phantom of 0.5 mm depth with a scattering coefficient from 0 to 10.8 mm-1, the presented OFI system is able to distinguish a pair of micro fluidic channels (100 µm × 100 µm) spaced by 10 µm. Eventually, an in vivo test on human skin is presented and, for the first time using an OFI sensor, a 2D blood flow image of a vein located just beneath the skin is computed.

Indexed as

InterferometryOptical DevicesComputer SimulationFeedbackHumansPhantoms, ImagingSkinimagingmicro scale blood flowoptical feedback interferometry

Identifiers

PMID33670276
PMCPMC7918789

What OpenQuestion holds

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Registered trials

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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.