Lipid droplet distribution quantification method based on lipid droplet detection by constrained reinforcement learning

Yoshitomi Harada; Haruto Nishida; Keiko Matsuura

doi:10.1371/journal.pone.0332884

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Open Access

Peer-reviewed

Research Article

Lipid droplet distribution quantification method based on lipid droplet detection by constrained reinforcement learning

Yoshitomi Harada,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliation Faculty of Health and Medical Sciences, Nippon Bunri University, Oita, Japan
⨯
Haruto Nishida ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing

* E-mail: nharuto@oita-u.ac.jp

Affiliation Diagnostic Pathology, Faculty of Medicine, Oita University, Oita, Japan

https://orcid.org/0000-0003-2959-8002

⨯
Keiko Matsuura

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Writing – review & editing

Affiliation Department of Biomedicine, Faculty of Medicine, Oita University, Oita, Japan
⨯

Lipid droplet distribution quantification method based on lipid droplet detection by constrained reinforcement learning

Yoshitomi Harada,
Haruto Nishida,
Keiko Matsuura

Published: September 25, 2025
https://doi.org/10.1371/journal.pone.0332884

About the Authors

Yoshitomi Harada

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliation Faculty of Health and Medical Sciences, Nippon Bunri University, Oita, Japan

Haruto Nishida

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing

* E-mail: nharuto@oita-u.ac.jp

Affiliation Diagnostic Pathology, Faculty of Medicine, Oita University, Oita, Japan

https://orcid.org/0000-0003-2959-8002

Keiko Matsuura

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Writing – review & editing

Affiliation Department of Biomedicine, Faculty of Medicine, Oita University, Oita, Japan

Competing Interests

The authors have declared that no competing interests exist.

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Lipids
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Probability density
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Portal veins
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Entropy
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Imaging techniques
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Probability distribution
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Lipid analysis
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Learning
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