Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sections
- Autores
- Espain, Maria Sol; Viglietti, J. S.; Vidal, C.; Martin, D.; Trivillin, Verónica Andrea; Monti Hughes, Andrea; Palmieri, M. A.; De Leo, L.; Garabalino, M. A.; Curotto, P.; Thorp, S. I.; Pozzi, E. C. C.; Saint Martin, G.; Portu, Agustina Mariana
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The distribution of boron in biological samples coming from BNCT protocols can be determined by the analysis of autoradiographic images formed by nuclear tracks on polymeric detectors. The tissue section is first explored to delimit regions of interest (ROIs), and then it is removed in order to reveal nuclear tracks through an etching process. A quantitative autoradiographic technique was developed to measure the boron concentration in the sample by counting the nuclear tracks on the detector. However, under certain circumstances, rapid measurements of boron distribution are required. For that purpose, a methodology was developed, allowing a rapid and easy determination of boron concentration and distribution in a tissue section by measuring grey levels in the corresponding high fluence autoradiographic image (HFA). The grey levels are then converted to optical density values which are then correlated with boron concentration values. In order to validate the technique, consecutive sections of several tissue samples were analyzed by the conventional counting method and by HFA. The image analysis and boron concentration estimation can be carried out in under 15 min, and relative differences between zones can be easily determined.
Fil: Espain, Maria Sol. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Viglietti, J. S.. Comisión Nacional de Energía Atómica; Argentina
Fil: Vidal, C.. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; Argentina
Fil: Martin, D.. Comisión Nacional de Energía Atómica; Argentina
Fil: Trivillin, Verónica Andrea. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Monti Hughes, Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica; Argentina
Fil: Palmieri, M. A.. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Biodiversidad y Biología Experimental; Argentina
Fil: De Leo, L.. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; Argentina
Fil: Garabalino, M. A.. Comisión Nacional de Energía Atómica; Argentina
Fil: Curotto, P.. Comisión Nacional de Energía Atómica; Argentina
Fil: Thorp, S. I.. Comisión Nacional de Energía Atómica; Argentina
Fil: Pozzi, E. C. C.. Comisión Nacional de Energía Atómica; Argentina
Fil: Saint Martin, G.. Comisión Nacional de Energía Atómica; Argentina
Fil: Portu, Agustina Mariana. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
NEUTRON AUTORADIOGRAPHY
BORON IMAGING
BNCT
OPTICAL DENSITY - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/231290
Ver los metadatos del registro completo
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3498 |
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Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sectionsEspain, Maria SolViglietti, J. S.Vidal, C.Martin, D.Trivillin, Verónica AndreaMonti Hughes, AndreaPalmieri, M. A.De Leo, L.Garabalino, M. A.Curotto, P.Thorp, S. I.Pozzi, E. C. C.Saint Martin, G.Portu, Agustina MarianaNEUTRON AUTORADIOGRAPHYBORON IMAGINGBNCTOPTICAL DENSITYhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The distribution of boron in biological samples coming from BNCT protocols can be determined by the analysis of autoradiographic images formed by nuclear tracks on polymeric detectors. The tissue section is first explored to delimit regions of interest (ROIs), and then it is removed in order to reveal nuclear tracks through an etching process. A quantitative autoradiographic technique was developed to measure the boron concentration in the sample by counting the nuclear tracks on the detector. However, under certain circumstances, rapid measurements of boron distribution are required. For that purpose, a methodology was developed, allowing a rapid and easy determination of boron concentration and distribution in a tissue section by measuring grey levels in the corresponding high fluence autoradiographic image (HFA). The grey levels are then converted to optical density values which are then correlated with boron concentration values. In order to validate the technique, consecutive sections of several tissue samples were analyzed by the conventional counting method and by HFA. The image analysis and boron concentration estimation can be carried out in under 15 min, and relative differences between zones can be easily determined.Fil: Espain, Maria Sol. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Viglietti, J. S.. Comisión Nacional de Energía Atómica; ArgentinaFil: Vidal, C.. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; ArgentinaFil: Martin, D.. Comisión Nacional de Energía Atómica; ArgentinaFil: Trivillin, Verónica Andrea. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Monti Hughes, Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica; ArgentinaFil: Palmieri, M. A.. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Biodiversidad y Biología Experimental; ArgentinaFil: De Leo, L.. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; ArgentinaFil: Garabalino, M. A.. Comisión Nacional de Energía Atómica; ArgentinaFil: Curotto, P.. Comisión Nacional de Energía Atómica; ArgentinaFil: Thorp, S. I.. Comisión Nacional de Energía Atómica; ArgentinaFil: Pozzi, E. C. C.. Comisión Nacional de Energía Atómica; ArgentinaFil: Saint Martin, G.. Comisión Nacional de Energía Atómica; ArgentinaFil: Portu, Agustina Mariana. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFrontiers Media2024-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/231290Espain, Maria Sol; Viglietti, J. S.; Vidal, C.; Martin, D.; Trivillin, Verónica Andrea; et al.; Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sections; Frontiers Media; Frontiers in Nuclear Engineering; 3; 3-2024; 1-102813-3412CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fnuen.2024.1363880/fullinfo:eu-repo/semantics/altIdentifier/doi/10.3389/fnuen.2024.1363880info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:46:57Zoai:ri.conicet.gov.ar:11336/231290instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:46:57.553CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sections |
title |
Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sections |
spellingShingle |
Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sections Espain, Maria Sol NEUTRON AUTORADIOGRAPHY BORON IMAGING BNCT OPTICAL DENSITY |
title_short |
Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sections |
title_full |
Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sections |
title_fullStr |
Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sections |
title_full_unstemmed |
Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sections |
title_sort |
Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sections |
dc.creator.none.fl_str_mv |
Espain, Maria Sol Viglietti, J. S. Vidal, C. Martin, D. Trivillin, Verónica Andrea Monti Hughes, Andrea Palmieri, M. A. De Leo, L. Garabalino, M. A. Curotto, P. Thorp, S. I. Pozzi, E. C. C. Saint Martin, G. Portu, Agustina Mariana |
author |
Espain, Maria Sol |
author_facet |
Espain, Maria Sol Viglietti, J. S. Vidal, C. Martin, D. Trivillin, Verónica Andrea Monti Hughes, Andrea Palmieri, M. A. De Leo, L. Garabalino, M. A. Curotto, P. Thorp, S. I. Pozzi, E. C. C. Saint Martin, G. Portu, Agustina Mariana |
author_role |
author |
author2 |
Viglietti, J. S. Vidal, C. Martin, D. Trivillin, Verónica Andrea Monti Hughes, Andrea Palmieri, M. A. De Leo, L. Garabalino, M. A. Curotto, P. Thorp, S. I. Pozzi, E. C. C. Saint Martin, G. Portu, Agustina Mariana |
author2_role |
author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
NEUTRON AUTORADIOGRAPHY BORON IMAGING BNCT OPTICAL DENSITY |
topic |
NEUTRON AUTORADIOGRAPHY BORON IMAGING BNCT OPTICAL DENSITY |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The distribution of boron in biological samples coming from BNCT protocols can be determined by the analysis of autoradiographic images formed by nuclear tracks on polymeric detectors. The tissue section is first explored to delimit regions of interest (ROIs), and then it is removed in order to reveal nuclear tracks through an etching process. A quantitative autoradiographic technique was developed to measure the boron concentration in the sample by counting the nuclear tracks on the detector. However, under certain circumstances, rapid measurements of boron distribution are required. For that purpose, a methodology was developed, allowing a rapid and easy determination of boron concentration and distribution in a tissue section by measuring grey levels in the corresponding high fluence autoradiographic image (HFA). The grey levels are then converted to optical density values which are then correlated with boron concentration values. In order to validate the technique, consecutive sections of several tissue samples were analyzed by the conventional counting method and by HFA. The image analysis and boron concentration estimation can be carried out in under 15 min, and relative differences between zones can be easily determined. Fil: Espain, Maria Sol. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Viglietti, J. S.. Comisión Nacional de Energía Atómica; Argentina Fil: Vidal, C.. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; Argentina Fil: Martin, D.. Comisión Nacional de Energía Atómica; Argentina Fil: Trivillin, Verónica Andrea. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Monti Hughes, Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica; Argentina Fil: Palmieri, M. A.. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Biodiversidad y Biología Experimental; Argentina Fil: De Leo, L.. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; Argentina Fil: Garabalino, M. A.. Comisión Nacional de Energía Atómica; Argentina Fil: Curotto, P.. Comisión Nacional de Energía Atómica; Argentina Fil: Thorp, S. I.. Comisión Nacional de Energía Atómica; Argentina Fil: Pozzi, E. C. C.. Comisión Nacional de Energía Atómica; Argentina Fil: Saint Martin, G.. Comisión Nacional de Energía Atómica; Argentina Fil: Portu, Agustina Mariana. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
The distribution of boron in biological samples coming from BNCT protocols can be determined by the analysis of autoradiographic images formed by nuclear tracks on polymeric detectors. The tissue section is first explored to delimit regions of interest (ROIs), and then it is removed in order to reveal nuclear tracks through an etching process. A quantitative autoradiographic technique was developed to measure the boron concentration in the sample by counting the nuclear tracks on the detector. However, under certain circumstances, rapid measurements of boron distribution are required. For that purpose, a methodology was developed, allowing a rapid and easy determination of boron concentration and distribution in a tissue section by measuring grey levels in the corresponding high fluence autoradiographic image (HFA). The grey levels are then converted to optical density values which are then correlated with boron concentration values. In order to validate the technique, consecutive sections of several tissue samples were analyzed by the conventional counting method and by HFA. The image analysis and boron concentration estimation can be carried out in under 15 min, and relative differences between zones can be easily determined. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-03 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/231290 Espain, Maria Sol; Viglietti, J. S.; Vidal, C.; Martin, D.; Trivillin, Verónica Andrea; et al.; Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sections; Frontiers Media; Frontiers in Nuclear Engineering; 3; 3-2024; 1-10 2813-3412 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/231290 |
identifier_str_mv |
Espain, Maria Sol; Viglietti, J. S.; Vidal, C.; Martin, D.; Trivillin, Verónica Andrea; et al.; Optical density of high fluence autoradiographic images to study boron microdistribution: validation of the technique in tissue sections; Frontiers Media; Frontiers in Nuclear Engineering; 3; 3-2024; 1-10 2813-3412 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fnuen.2024.1363880/full info:eu-repo/semantics/altIdentifier/doi/10.3389/fnuen.2024.1363880 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Frontiers Media |
publisher.none.fl_str_mv |
Frontiers Media |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842268827021213696 |
score |
13.13397 |