Evidence map›Paper›PMID 36032583›Full record

ArticleBiomedical optics express2022

Method for tissue clearing: temporal tissue optical clearing.

Behnam Shariati B K, Seyyede Sarvenaz Khatami, Mohammad Ali Ansari, Fazel Jahangiri, Hamid Latifi, Valery V Tuchin

Abstract read
In one paragraph

Article in Biomedical optics express, 2022. 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
–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

6 citing papers in PubMed.

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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

6 authors.

Behnam Shariati B KLaser and Plasma Research Institute, Shahid Beheshti University, Tehran 19839 69411, Iran.
Seyyede Sarvenaz KhatamiLaser and Plasma Research Institute, Shahid Beheshti University, Tehran 19839 69411, Iran.
Mohammad Ali AnsariLaser and Plasma Research Institute, Shahid Beheshti University, Tehran 19839 69411, Iran.ORCID https://orcid.org/0000-0003-4934-1300
Fazel JahangiriLaser and Plasma Research Institute, Shahid Beheshti University, Tehran 19839 69411, Iran.ORCID https://orcid.org/0000-0002-7931-7320
Hamid LatifiLaser and Plasma Research Institute, Shahid Beheshti University, Tehran 19839 69411, Iran.ORCID https://orcid.org/0000-0002-0234-8612
Valery V TuchinScience Medical Center, Saratov State University, 83 Astrakhanskaya str., Saratov 410012, Russia.ORCID https://orcid.org/0000-0001-7479-2694

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light absorption and scattering in biological tissue are significant variables in optical imaging technologies and regulating them enhances optical imaging quality. Optical clearing methods can decrease light scattering and improve optical imaging quality to some extent but owing to their limited efficacy and the potential influence of optical clearing agents on tissue functioning, complementing approaches must be investigated. In this paper, a new strategy of optical clearing proposed as time-dependent or temporal tissue optical clearing (TTOC) is described. The absorption and scattering in light interaction with tissue are regulated in the TTOC technique by altering the pulse width. Here, the dependence of optical properties of matter on the pulse width in a gelatin-based phantom was investigated experimentally. Then, a semi-classical model was introduced to computationally study of Ultra-short laser/matter interaction. After studying phantom, the absorption and scattering probabilities in the interaction of the pulse with modeled human skin tissue were investigated using the proposed model for pulse widths ranging from 1µs to 10fs. The propagation of the pulse through the skin tissue was simulated using the Monte Carlo technique by computing the pulse width-dependent optical properties (absorption coefficient µ

Identifiers

PMID36032583
PMCPMC9408250

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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.