Automatic recognition of flow cytometric phytoplankton functional groups using convolutional neural networks-Reference-Cited by-同舟云学术

Automatic recognition of flow cytometric phytoplankton functional groups using convolutional neural networks

Published:2022-06-02 Issue:7 Volume:20 Page:387-399
ISSN:1541-5856
Container-title:Limnology and Oceanography: Methods
language:en
Short-container-title:Limnology & Ocean Methods

Author:

Fuchs Robin¹²^ORCID,Thyssen Melilotus²^ORCID,Creach Véronique³^ORCID,Dugenne Mathilde⁴^ORCID,Izard Lloyd⁵^ORCID,Latimier Marie⁶,Louchart Arnaud⁷⁸^ORCID,Marrec Pierre⁹^ORCID,Rijkeboer Machteld¹⁰^ORCID,Grégori Gérald²^ORCID,Pommeret Denys¹¹¹¹²¹³^ORCID

Affiliation:

1. Aix Marseille Univ, CNRS, I2M Marseille France

2. Aix Marseille Univ, Université de Toulon, CNRS, IRD, MIO Marseille France

3. Cefas Suffolk UK

4. Department of Oceanography University of Hawai'i at Manoa Honolulu Hawai'i USA

5. Sorbonne Université, CNRS, IRD, MNHN, Laboratoire d'Océanographie et du Climat: Expérimentations et Approches Numériques (LOCEAN‐IPSL) Paris France

6. IFREMER, DYNECO PELAGOS Plouzane France

7. Department of Integrative Marine Ecology Stazione Zoologica Anton Dohrn, Villa Comunale Naples Italy

8. IFREMER, Laboratoire Environnement and Ressources Boulogne‐sur‐Mer France

9. Graduate School of Oceanography University of Rhode Island Narragansett Rhode Island USA

10. Laboratory for Hydrobiological Analysis, Rijkswaterstaat (RWS) Lelystad The Netherlands

11. Université Claude Bernard Lyon 1 Villeurbanne France

12. ISFA Lyon France

13. Laboratoire de Sciences Actuarielle et Financière (SAF) Lyon France

Funder

European Regional Development Fund

Ministère de l'Enseignement supérieur, de la Recherche et de l'Innovation

Publisher

Wiley

Subject

Ocean Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10493

Reference65 articles.

1. Predicting Cell Populations in Single Cell Mass Cytometry Data

2. Automatic recognition of coccoliths by dynamical neural networks

3. Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures;Bergstra J.;PMLR,2013

4. Neural network analysis of flow cytometric data for 40 marine phytoplankton species

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid quantum-classical convolutional neural network for phytoplankton classification;Frontiers in Marine Science;2023-09-25

2. A novel fluoro‐electrochemical technique for classifying diverse marine nanophytoplankton;Limnology and Oceanography: Methods;2023-09-04

3. Temperature dependence of parasitoid infection and abundance of a diatom revealed by automated imaging and classification;Proceedings of the National Academy of Sciences;2023-07-03

4. Intermittent Upwelling Events Trigger Delayed, Major, and Reproducible Pico‐Nanophytoplankton Responses in Coastal Oligotrophic Waters;Geophysical Research Letters;2023-03-02

5. Interoperable vocabulary for marine microbial flow cytometry;Frontiers in Marine Science;2022-11-18