Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Marine Microbial Ecology

Marine Microbial Ecology

Marine microbial ecosystems are shaped by distinct physicochemical limits, including high salinity, low nutrient availability, and fluctuating oxygen levels. These conditions favor smaller microbial cell sizes, which maximize their surface-to-volume ratio for efficient nutrient uptake.Microbial activity and community composition are closely linked to biogeochemical cycles, particularly in dynamic environments like estuaries, where halotolerant microbes thrive in response to variable salinity...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Global distribution of deep-sea natural products shows environmental and phylogenetic undersampling with potential for biodiscovery.

Scientific reports·2026

Same author

Passive acoustic monitoring (PAM) to assess benthic communities associated with offshore wind farms: insights and future directions.

Environmental monitoring and assessment·2026

Same author

An Exploratory LC-HRMS Metabolomics Study of Culture Medium-Dependent Metabolic Variation and Bioactivity in Ten Fungal Strains.

International journal of molecular sciences·2026

Same author

A systematic comparison of transformers and ConvNets for root segmentation across nine datasets.

Plant methods·2026

Same author

Tools and approaches for mapping Marine Animal Forests: A practical overview for researchers and conservationists.

Open research Europe·2026

Same author

Deep roots through time and crops: insight from five seasons at DeepRootLab.

The New phytologist·2026

Search research articles

Related Experiment Video

Updated: Jul 12, 2026

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

New interactive machine learning tool for marine image analysis.

H Poppy Clark¹, Abraham George Smith², Daniel McKay Fletcher³

¹Marine Biodiscovery Centre, Department of Chemistry, University of Aberdeen, Aberdeen AB24 3UE, UK.

Royal Society Open Science

|August 19, 2024

Summary

Machine learning tool RootPainter rapidly and accurately analyzes marine images to identify the sponge Mycale lingua. This accelerates biodiversity research and understanding of marine ecosystems.

Keywords:

RootPainter automated area measurement benthic ecology computer vision interactive machine learning marine image analysis

More Related Videos

Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop

Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop

Published on: July 2, 2018

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Related Experiment Videos

Last Updated: Jul 12, 2026

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop

Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop

Published on: July 2, 2018

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Area of Science:

Marine Biology
Image Analysis
Machine Learning

Background:

Marine imaging technologies generate vast datasets, but manual analysis is time-consuming.
Efficient analysis of marine video and image data is crucial for ecological research.
Identifying species like Mycale lingua in large datasets presents a significant challenge.

Purpose of the Study:

To demonstrate the effectiveness of the open-source RootPainter tool for analyzing marine image datasets.
To assess RootPainter's capability in extracting presence and surface area data for Mycale lingua.
To evaluate the impact of new corrective annotation metrics on model training and validation.

Main Methods:

Utilized RootPainter, an interactive machine learning tool, on two marine image datasets (time-lapse and ROV video).
Developed and applied corrective annotation metrics for objective model training assessment.
Employed transfer learning to enhance analysis efficiency for Mycale lingua models.

Main Results:

Achieved high accuracy in identifying Mycale lingua with an average Dice score of 0.94 ± 0.06.
Analysis efficiency increased 6 to 16 times faster than manual annotation using transfer learning.
Successfully extracted surface area measurements for Mycale lingua from both datasets.

Conclusions:

RootPainter offers a rapid and accurate solution for analyzing large marine image datasets.
Interactive machine learning tools can significantly improve the speed and scope of biodiversity research.
Future applications include enhanced understanding of spatiotemporal patterns in marine biodiversity.