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CORRECTION article

Front. Mar. Sci., 16 September 2025

Sec. Ocean Observation

Volume 12 - 2025 | https://doi.org/10.3389/fmars.2025.1697558

Correction: Machine learning for improved size estimation of complex marine particles from noisy holographic images

This article is a correction to:

  1. Machine learning for improved size estimation of complex marine particles from noisy holographic images

    1. Read original article
Zonghua Liu,*Zonghua Liu1,2*Marika TakeuchiMarika Takeuchi2Yssica ContrerasYéssica Contreras3Thangavel ThevarThangavel Thevar4Alex Nimmo-SmithAlex Nimmo-Smith5John WatsonJohn Watson4Sarah L. C. Giering*Sarah L. C. Giering2*
  • 1School of Computing, Engineering and Technology, Robert Gordon University, Aberdeen, United Kingdom
  • 2National Oceanography Centre, Southampton, United Kingdom
  • 3Division of Oceanography, Center for Scientific Research and Higher Education of Ensenada, Ensenada, Mexico
  • 4School of Engineering, University of Aberdeen, Aberdeen, United Kingdom
  • 5School of Biological and Marine Sciences, University of Plymouth, Plymouth, United Kingdom

A Correction on
Machine learning for improved size estimation of complex marine particles from noisy holographic images

By Liu Z, Takeuchi M, Contreras Y, Thevar T, Nimmo-Smith A, Watson J and Giering SLC (2025) Front. Mar. Sci. 12:1587939. doi: 10.3389/fmars.2025.1587939

There was a mistake in Table 2 as published. Some rows are mixed up. The corrected Table 2 appears below.

Table 2
www.frontiersin.org

Table 2. One example for each taxonomic class, and its labelled particle region and edges.

The original version of this article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: subsea digital holography, hologram processing, machine learning, size estimation, particle size distributions

Citation: Liu Z, Takeuchi M, Contreras Y, Thevar T, Nimmo-Smith A, Watson J and Giering SLC (2025) Correction: Machine learning for improved size estimation of complex marine particles from noisy holographic images. Front. Mar. Sci. 12:1697558. doi: 10.3389/fmars.2025.1697558

Received: 02 September 2025; Accepted: 03 September 2025;
Published: 16 September 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Liu, Takeuchi, Contreras, Thevar, Nimmo-Smith, Watson and Giering. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zonghua Liu, ei5saXUzQHJndS5hYy51aw==; Sarah L. C. Giering, cy5naWVyaW5nQG5vYy5hYy51aw==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.