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Open Access
Peer-reviewed
Research Article
Bo-Net: Deep learning-based model for automatic bone stromal cell segmentation of fluorescence microscopy images
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Giorgio Allegri ,
Contributed equally to this work with: Giorgio Allegri, Luca Pavirani, Sergio Barrios
Roles Conceptualization, Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing
¶† Deceased.
Affiliations Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, Italy, Center for Precision Surgery, Houston Methodist Research Institute, Houston, Texas, United States of America
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Luca Pavirani ,
Contributed equally to this work with: Giorgio Allegri, Luca Pavirani, Sergio Barrios
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliations Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, Italy, Center for Precision Surgery, Houston Methodist Research Institute, Houston, Texas, United States of America
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Sergio Barrios ,
Contributed equally to this work with: Giorgio Allegri, Luca Pavirani, Sergio Barrios
Roles Data curation, Writing – review & editing
Affiliations David H. Koch Center for Applied Research of Genitourinary Cancers and Genitourinary Medical Oncology Department, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America, Rice University, Dept. of Bioengineering, Houston, Texas, United States of America
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Sofia Rosy Caterina Sorice,
Roles Data curation, Formal analysis, Methodology
Affiliation David H. Koch Center for Applied Research of Genitourinary Cancers and Genitourinary Medical Oncology Department, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
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Giulia Alessandrelli,
Roles Conceptualization, Data curation, Formal analysis, Methodology
Affiliation Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, Italy
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Luca Marsilio,
Roles Data curation, Formal analysis
Affiliations Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, Italy, Center for Precision Surgery, Houston Methodist Research Institute, Houston, Texas, United States of America
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Antonios Mikos,
Roles Conceptualization, Investigation, Resources
Affiliation Rice University, Dept. of Bioengineering, Houston, Texas, United States of America
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Pietro Cerveri,
Roles Conceptualization, Investigation, Writing – review & editing
Affiliation Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, Italy
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Stefano Casarin ,
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: SCasarin@houstonmethodist.org (SC); EDondossola@mdanderson.org (ED)
¶‡ SC and ED authors also contributed equally to this work.
Affiliations Center for Precision Surgery, Houston Methodist Research Institute, Houston, Texas, United States of America, Department of Surgery, Houston Methodist Hospital, Houston, Texas, United States of America, LaSIE, UMR CNRS, La Rochelle Université, La Rochelle, France
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Eleonora Dondossola
Roles Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing, Conceptualization
* E-mail: SCasarin@houstonmethodist.org (SC); EDondossola@mdanderson.org (ED)
¶‡ SC and ED authors also contributed equally to this work.
Affiliations David H. Koch Center for Applied Research of Genitourinary Cancers and Genitourinary Medical Oncology Department, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America, Rice University, Dept. of Bioengineering, Houston, Texas, United States of America
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Bo-Net: Deep learning-based model for automatic bone stromal cell segmentation of fluorescence microscopy images
- Giorgio Allegri,
- Luca Pavirani,
- Sergio Barrios,
- Sofia Rosy Caterina Sorice,
- Giulia Alessandrelli,
- Luca Marsilio,
- Antonios Mikos,
- Pietro Cerveri,
- Stefano Casarin,
- Eleonora Dondossola
- Published: August 4, 2026
- https://doi.org/10.1371/journal.pone.0353796