Evidence map›Paper›PMID 32189479›Full record

ArticleJournal of biomedical optics2020

Laser-induced elastic wave classification: thermoelastic versus ablative regimes for all-optical elastography applications.

Susobhan Das, Alexander Schill, Chih-Hao Liu, Salavat Aglyamov, Kirill V Larin

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Phantoms for use in optical coherence elastography.Journal of biomedical optics · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Wave-based optical coherence elastography: The 10-year perspective.Progress in biomedical engineering (Bristol, England) · 2022
    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

5 authors.

Susobhan DasUniversity of Houston, Department of Biomedical Engineering, Houston, Texas, United States.
Alexander SchillUniversity of Houston, Department of Biomedical Engineering, Houston, Texas, United States.
Chih-Hao LiuUniversity of Houston, Department of Biomedical Engineering, Houston, Texas, United States.
Salavat AglyamovUniversity of Houston, Department of Mechanical Engineering, Houston, Texas, United States.
Kirill V LarinUniversity of Houston, Department of Biomedical Engineering, Houston, Texas, United States.

Funding

Optical Coherence Elastography of the CorneaR01EY022362 · NEI · UNIVERSITY OF HOUSTON · PI Salavat R Aglyamov, Kirill V Larin · 2012 to 2026
$6.7M
Optical elastography for assessment of myocardial regenerationR01HL130804 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI LARIN, KIRILL V, MARTIN, JAMES F · 2016 to 2019
$2.9M
3D Imaging of Tumor Mechanobiology Using Nanobomb Optical Coherence ElastographyR21CA231561 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SOKOLOV, KONSTANTIN V · 2019 to 2020
$389k
NCI NIH HHS R21 CA231561NEI NIH HHS R01 EY022362NHLBI NIH HHS R01 HL130804
6 · The paper itself

Abstract

significanceShear wave optical coherence elastography is an emerging technique for characterizing tissue biomechanics that relies on the generation of elastic waves to obtain the mechanical contrast. Various techniques, such as contact, acoustic, and pneumatic methods, have been used to induce elastic waves. However, the lack of higher-frequency components within the elastic wave restricts their use in thin samples. The methods also require moving parts and/or tubing, which therefore limits the extent to which they can be miniaturized.

aimTo overcome these limitations, we propose an all-optical approach using photothermal excitation. Depending on the absorption coefficient of the sample and the laser pulse energy, elastic waves are generated either through a thermoelastic or an ablative process. Our study aimed to experimentally determine the boundary between the thermoelastic and the ablative regimes for safe all-optical elastography applications. APPROACH: Tissue-mimicking graphite-doped phantoms and chicken liver samples were used to investigate the boundary between thermoelastic and ablative regimes. A pulsed laser at 532 nm was used to induce elastic waves in the samples. Laser-induced elastic waves were detected using a line field low coherence holography instrument. The shape of the elastic wave amplitude was analyzed and used to determine the transition point between thermoelastic and ablative regimes.

resultsThe transition from the thermoelastic to the ablative regime is accompanied by the nonlinear increase in surface wave amplitude as well as the transformation of the wave shape. Correlation between the absorption coefficient and the transition point energy was experimentally determined using graphite-doped phantoms and applied to biological samples ex vivo.

conclusionsOur study described a methodology for determining the boundary region between thermoelastic and ablative regimes of elastic wave generation. These can be used for the development of a safe method for completely noncontact, all-optical microscale assessment of tissue biomechanics using laser-induced elastic waves.

Indexed as

Tomography, Optical CoherenceAnimalsBiomechanical PhenomenaChickensElasticity Imaging TechniquesElastic ModulusLiverPhantoms, ImagingSoundablativeall-opticalelastic wavesoptical coherence elastographythermoelastic

Identifiers

PMID32189479
PMCPMC7080210

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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.