Evidence map›Paper›PMID 38793137›Full record

ReviewMicromachines2024

Growing Trend to Adopt Speckle Variance Optical Coherence Tomography for Biological Tissue Assessments in Pre-Clinical Applications.

Ruchire Eranga Wijesinghe, Nipun Shantha Kahatapitiya, Changho Lee, Sangyeob Han, Shinheon Kim, Sm Abu Saleah, Daewoon Seong, Bhagya Nathali Silva, Udaya Wijenayake, Naresh Kumar Ravichandran and 2 more

Abstract readReview
In one paragraph

Review in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Ruchire Eranga WijesingheDepartment of Electrical and Electronic Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe 10115, Sri Lanka.
Nipun Shantha KahatapitiyaDepartment of Computer Engineering, Faculty of Engineering, University of Sri Jayewardenepura, Nugegoda 10250, Sri Lanka.ORCID 0000-0002-7608-3565
Changho LeeDepartment of Artificial Intelligence Convergence, Chonnam National University, Gwangju 61186, Republic of Korea.
Sangyeob HanICT Convergence Research Center, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea.ORCID 0000-0002-9440-2478
Shinheon KimICT Convergence Research Center, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea.
Sm Abu SaleahICT Convergence Research Center, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea.ORCID 0000-0002-8129-4455
Daewoon SeongSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea.ORCID 0000-0003-3477-412X
Bhagya Nathali SilvaCenter for Excellence in Intelligent Informatics, Electronics & Transmission (CIET), Sri Lanka Institute of Information Technology, Malabe 10115, Sri Lanka.ORCID 0000-0002-8545-943X
Udaya WijenayakeDepartment of Computer Engineering, Faculty of Engineering, University of Sri Jayewardenepura, Nugegoda 10250, Sri Lanka.ORCID 0000-0002-3267-3854
Naresh Kumar RavichandranCenter for Scientific Instrumentation, Korea Basic Science Institute, 169-148, Gwahak-ro, Yuseong-gu, Daejeon 34133, Republic of Korea.ORCID 0000-0002-3712-5304
Mansik JeonSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea.
Jeehyun KimSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea.ORCID 0000-0003-1217-9338

Funding

Korea Basic Science Institute D300300Science and Technology Human Resource Development Project, Ministry of Education, Sri Lanka, funded by the Asian Development Bank STHRD/CRG/R3/SJ/07University of Sri Jayewardenepura Research Grants ASP/01/RE/ENG/2022/86
6 · The paper itself

Abstract

Speckle patterns are a generic feature in coherent imaging techniques like optical coherence tomography (OCT). Although speckles are granular like noise texture, which degrades the image, they carry information that can be benefited by processing and thereby furnishing crucial information of sample structures, which can serve to provide significant important structural details of samples in

Indexed as

biological tissue imagingblood flow assessmentin vivo vascular assessmentmicrovasculature mappingpre-clinical monitoringspeckle-variance optical coherence tomography (SV-OCT)

Identifiers

PMID38793137
PMCPMC11122893

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.