Evidence map›Paper›PMID 33833260›Full record

ArticleScientific reports2021

Digital image processing to detect subtle motion in stony coral.

Shuaifeng Li, Liza M Roger, Lokender Kumar, Nastassja A Lewinski, Judith Klein-Seetharaman, Alex Gagnon, Hollie M Putnam, Jinkyu Yang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
1.9field-weighted citation impact, top 16% 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, 15 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Shuaifeng LiDepartment of Aeronautics and Astronautics, University of Washington, Seattle, WA, 98195-2400, USA.
Liza M RogerDepartment of Chemical and Life Science and Engineering, Virginia Commonwealth University, Richmond, VA, USA.
Lokender KumarDepartment of Physics, Colorado School of Mines, Golden, CO, USA.
Nastassja A LewinskiDepartment of Chemical and Life Science and Engineering, Virginia Commonwealth University, Richmond, VA, USA.
Judith Klein-SeetharamanDepartment of Chemistry, Colorado School of Mines, Golden, CO, USA.
Alex GagnonSchool of Oceanography, University of Washington, Seattle, WA, USA.
Hollie M PutnamDepartment of Biological Sciences, University of Rhode Island, Kingston, RI, 02881, USA. hputnam@uri.edu.
Jinkyu YangDepartment of Aeronautics and Astronautics, University of Washington, Seattle, WA, 98195-2400, USA. jkyang@aa.washington.edu.
University of Washington · USColorado School of Mines · USVirginia Commonwealth University · USUniversity of Rhode Island · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coral reef ecosystems support significant biological activities and harbor huge diversity, but they are facing a severe crisis driven by anthropogenic activities and climate change. An important behavioral trait of the coral holobiont is coral motion, which may play an essential role in feeding, competition, reproduction, and thus survival and fitness. Therefore, characterizing coral behavior through motion analysis will aid our understanding of basic biological and physical coral functions. However, tissue motion in the stony scleractinian corals that contribute most to coral reef construction are subtle and may be imperceptible to both the human eye and commonly used imaging techniques. Here we propose and apply a systematic approach to quantify and visualize subtle coral motion across a series of light and dark cycles in the scleractinian coral Montipora capricornis. We use digital image correlation and optical flow techniques to quantify and characterize minute coral motions under different light conditions. In addition, as a visualization tool, motion magnification algorithm magnifies coral motions in different frequencies, which explicitly displays the distinctive dynamic modes of coral movement. Specifically, our assessment of displacement, strain, optical flow, and mode shape quantify coral motion under different light conditions, and they all show that M. capricornis exhibits more active motions at night compared to day. Our approach provides an unprecedented insight into micro-scale coral movement and behavior through macro-scale digital imaging, thus offering a useful empirical toolset for the coral research community.

Identifiers

PMID33833260
PMCPMC8032694
OpenAlexW3150749502

What OpenQuestion holds

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LicenceCC BY
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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.