Quantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slices
Resumen:
Melanoma diagnosis traditionally relies on microscopic examination of hematoxylin and eosin (H&E) slides by dermatopathologists to search for specific architectural and cytological features. Unfortunately, no single molecular marker exists to reliably differentiatemelanoma from benign lesions such as nevi. This study explored the potential of autofluorescent molecules within tissues to provide molecular fingerprints indicative of degenerated melanocytes in melanoma.
| 2023 | |
| Los autores agradecen el apoyo del PEDECIBA y de la Agencia Nacional de Investigación e Innovación (ANII) como miembros del Sistema Nacional de Investigadores (SNI) | |
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Skin cancer Melanoma Fluorescence microscopy Hyperspectral imaging Phasor analysis Spectral phasor Nevus Cancer |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
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https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2023.1296826/full#h1
https://hdl.handle.net/20.500.12008/41340 |
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| Acceso abierto | |
| Licencia Creative Commons Atribución (CC - By 4.0) |
| _version_ | 1807522938464763904 |
|---|---|
| author | Schuty, Bruno |
| author2 | Martinez, Sofia Guerra, Analia Lecumberry, Federico Magliano, Julio Malacrida, Leonel |
| author2_role | author author author author author |
| author_facet | Schuty, Bruno Martinez, Sofia Guerra, Analia Lecumberry, Federico Magliano, Julio Malacrida, Leonel |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Schuty Bruno, Institut Pasteur de Montevideo Martinez Sofia, Universidad de la República (Uruguay). Facultad de Medicina. Guerra Analia, Universidad de la República (Uruguay). Facultad de Medicina. Lecumberry Federico, Universidad de la República (Uruguay). Facultad de Ingeniería. Magliano Julio, Universidad de la República (Uruguay). Facultad de Medicina. Malacrida Leonel, Universidad de la República (Uruguay). Facultad de Medicina. |
| dc.creator.none.fl_str_mv | Schuty, Bruno Martinez, Sofia Guerra, Analia Lecumberry, Federico Magliano, Julio Malacrida, Leonel |
| dc.date.accessioned.none.fl_str_mv | 2023-11-20T17:44:19Z |
| dc.date.available.none.fl_str_mv | 2023-11-20T17:44:19Z |
| dc.date.issued.none.fl_str_mv | 2023 |
| dc.description.abstract.none.fl_txt_mv | Melanoma diagnosis traditionally relies on microscopic examination of hematoxylin and eosin (H&E) slides by dermatopathologists to search for specific architectural and cytological features. Unfortunately, no single molecular marker exists to reliably differentiatemelanoma from benign lesions such as nevi. This study explored the potential of autofluorescent molecules within tissues to provide molecular fingerprints indicative of degenerated melanocytes in melanoma. |
| dc.description.sponsorship.none.fl_txt_mv | Los autores agradecen el apoyo del PEDECIBA y de la Agencia Nacional de Investigación e Innovación (ANII) como miembros del Sistema Nacional de Investigadores (SNI) |
| dc.format.extent.es.fl_str_mv | 12 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Schuty, B., Martinez, S., Guerra, A. y otros. "Quantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slices". Frontiers in Oncology. Cancer Imaging and Image-directed Interventions. [en línea]. 2023, vol. 13, pp. 1-12. DOI: 10.3389/fonc.2023.1296826. |
| dc.identifier.doi.none.fl_str_mv | 10.3389/fonc.2023.1296826 |
| dc.identifier.eissn.none.fl_str_mv | 2234-943X |
| dc.identifier.uri.none.fl_str_mv | https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2023.1296826/full#h1 https://hdl.handle.net/20.500.12008/41340 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Frontiers Media S.A. |
| dc.relation.ispartof.es.fl_str_mv | Frontiers in Oncology. Cancer Imaging and Image-directed Interventions, vol. 13, pp. 1-12, nov. 2023. |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Skin cancer Melanoma Fluorescence microscopy Hyperspectral imaging Phasor analysis Spectral phasor Nevus Cancer |
| dc.title.none.fl_str_mv | Quantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slices |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Melanoma diagnosis traditionally relies on microscopic examination of hematoxylin and eosin (H&E) slides by dermatopathologists to search for specific architectural and cytological features. Unfortunately, no single molecular marker exists to reliably differentiatemelanoma from benign lesions such as nevi. This study explored the potential of autofluorescent molecules within tissues to provide molecular fingerprints indicative of degenerated melanocytes in melanoma. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_c76f32e4960a550ae1ebf1332386c1b0 |
| identifier_str_mv | Schuty, B., Martinez, S., Guerra, A. y otros. "Quantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slices". Frontiers in Oncology. Cancer Imaging and Image-directed Interventions. [en línea]. 2023, vol. 13, pp. 1-12. DOI: 10.3389/fonc.2023.1296826. 10.3389/fonc.2023.1296826 2234-943X |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/41340 |
| publishDate | 2023 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| spelling | Schuty Bruno, Institut Pasteur de MontevideoMartinez Sofia, Universidad de la República (Uruguay). Facultad de Medicina.Guerra Analia, Universidad de la República (Uruguay). Facultad de Medicina.Lecumberry Federico, Universidad de la República (Uruguay). Facultad de Ingeniería.Magliano Julio, Universidad de la República (Uruguay). Facultad de Medicina.Malacrida Leonel, Universidad de la República (Uruguay). Facultad de Medicina.2023-11-20T17:44:19Z2023-11-20T17:44:19Z2023Schuty, B., Martinez, S., Guerra, A. y otros. "Quantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slices". Frontiers in Oncology. Cancer Imaging and Image-directed Interventions. [en línea]. 2023, vol. 13, pp. 1-12. DOI: 10.3389/fonc.2023.1296826.https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2023.1296826/full#h1https://hdl.handle.net/20.500.12008/4134010.3389/fonc.2023.12968262234-943XMelanoma diagnosis traditionally relies on microscopic examination of hematoxylin and eosin (H&E) slides by dermatopathologists to search for specific architectural and cytological features. Unfortunately, no single molecular marker exists to reliably differentiatemelanoma from benign lesions such as nevi. This study explored the potential of autofluorescent molecules within tissues to provide molecular fingerprints indicative of degenerated melanocytes in melanoma.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2023-11-17T22:13:02Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) SMGLMM23.pdf: 5810045 bytes, checksum: 31951c6291f813456be05edbc5acb8b8 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2023-11-20T17:40:38Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) SMGLMM23.pdf: 5810045 bytes, checksum: 31951c6291f813456be05edbc5acb8b8 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2023-11-20T17:44:19Z (GMT). No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) SMGLMM23.pdf: 5810045 bytes, checksum: 31951c6291f813456be05edbc5acb8b8 (MD5) Previous issue date: 2023Los autores agradecen el apoyo del PEDECIBA y de la Agencia Nacional de Investigación e Innovación (ANII) como miembros del Sistema Nacional de Investigadores (SNI)12 p.application/pdfenengFrontiers Media S.A.Frontiers in Oncology. Cancer Imaging and Image-directed Interventions, vol. 13, pp. 1-12, nov. 2023.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By 4.0)Skin cancerMelanomaFluorescence microscopyHyperspectral imagingPhasor analysisSpectral phasorNevusCancerQuantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slicesArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaSchuty, BrunoMartinez, SofiaGuerra, AnaliaLecumberry, FedericoMagliano, JulioMalacrida, LeonelProcesamiento de SeñalesTratamiento de ImágenesLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/41340/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-844http://localhost:8080/xmlui/bitstream/20.500.12008/41340/2/license_urla0ebbeafb9d2ec7cbb19d7137ebc392cMD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse |
| spellingShingle | Quantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slices Schuty, Bruno Skin cancer Melanoma Fluorescence microscopy Hyperspectral imaging Phasor analysis Spectral phasor Nevus Cancer |
| status_str | publishedVersion |
| title | Quantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slices |
| title_full | Quantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slices |
| title_fullStr | Quantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slices |
| title_full_unstemmed | Quantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slices |
| title_short | Quantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slices |
| title_sort | Quantitative melanoma diagnosis using Spectral Phasor Analysis of Hyperspectral Imaging from label-free slices |
| topic | Skin cancer Melanoma Fluorescence microscopy Hyperspectral imaging Phasor analysis Spectral phasor Nevus Cancer |
| url | https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2023.1296826/full#h1 https://hdl.handle.net/20.500.12008/41340 |
