<scp>CoralCT</scp>: A platform for transparent and collaborative analyses of growth parameters in coral skeletal cores

Abstract We present CoralCT, a software application for analysis of annual extension, density, and calcification in coral skeletal cores. CoralCT can be used to analyze computed tomography (CT) scans or X‐ray images of skeletal cores through a process in which observers interact with images of a core to define the locations of annual density bands. The application streamlines this process by organizing the observer‐defined banding patterns and automatically measuring growth parameters. Analyses can be conducted in two or three dimensions, and observers have the option to utilize an automatic band‐detection feature. CoralCT is linked to a server that stores the raw CT and X‐ray image data, as well as output growth rate data for hundreds of cores. Overall, this server‐based system enables broad collaborations on coral core analysis with standardized methods and—crucially—creates a pathway for implementing multiobserver analysis. We assess the method by comparing multiple techniques for measuring annual extension and density, including a corallite‐tracing approach, medical imaging software, two‐dimensional vs. three‐dimensional analyses, and between multiple observers. We recommend that CoralCT be used not only as a measurement tool but also as a platform for data archiving and conducting open, collaborative science.

Authors

Institutions

Publication Details

Journal
Limnology and Oceanography Methods
Published
2024-12-04
DOI
https://doi.org/10.1002/lom3.10661
Citations
3
Primary Topic
Coral and Marine Ecosystems Studies
Type
article
Field-Weighted Citation Impact
1.38

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CoralCT: A platform for transparent and collaborative analyses of growth parameters in coral skeletal cores

Thomas Mario DeCarlo, Andrew D. Strange, Allyndaire Whelehan, Brighton Hedger et al.
3 citations
Limnology and Oceanography Methods
Coral and Marine Ecosystems Studies
1.38
article

CoralCT: A platform for transparent and collaborative analyses of growth parameters in coral skeletal cores

Thomas Mario DeCarlo, Andrew D. Strange, Allyndaire Whelehan, Brighton Hedger, Devyn Perry, Maya Pompel, Oliwia Jasnos
article en
3 citations

Abstract

Abstract We present CoralCT, a software application for analysis of annual extension, density, and calcification in coral skeletal cores. CoralCT can be used to analyze computed tomography (CT) scans or X‐ray images of skeletal cores through a process in which observers interact with images of a core to define the locations of annual density bands. The application streamlines this process by organizing the observer‐defined banding patterns and automatically measuring growth parameters. Analyses can be conducted in two or three dimensions, and observers have the option to utilize an automatic band‐detection feature. CoralCT is linked to a server that stores the raw CT and X‐ray image data, as well as output growth rate data for hundreds of cores. Overall, this server‐based system enables broad collaborations on coral core analysis with standardized methods and—crucially—creates a pathway for implementing multiobserver analysis. We assess the method by comparing multiple techniques for measuring annual extension and density, including a corallite‐tracing approach, medical imaging software, two‐dimensional vs. three‐dimensional analyses, and between multiple observers. We recommend that CoralCT be used not only as a measurement tool but also as a platform for data archiving and conducting open, collaborative science.

Limnology and Oceanography MethodsVol. 23(2)
Tulane University (US), Hawaii Pacific University (US)
National Science Foundation, National Taiwan University, National Oceanic and Atmospheric Administration, U.S. Geological Survey
Life below water
Openalex Percentile: Top 17%
Coral and Marine Ecosystems Studies
1.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.