Optical density analysis in autoradiographic images from BNCT protocols
- Autores
- Vidal, C.; Portu, Agustina Mariana; Thorp, Silvia Inés; Curotto, Paula; Pozzi, E.; Saint Martin, María Laura Gisela
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In Boron Neutron Capture Therapy (BNCT) research, information on spatial distribution and concentration of boron in tissues is essential for the treatment planning and for dose determination. Neutron autoradiography technique offers the possibility to gain insight into boron biodistribution in tissues. The irradiation of tissue sections deposited on nuclear track detectors produces damages in the latter, which can be visualized by microscope imaging and that are spatially correlated with the boron localization in the biological section. We had previously developed a methodology for the quantification of boron concentration in tissue samples by nuclear track density determination (QTA). In this work we analyzed the optical density (OD) in autoradiographic images where track density is too high to be quantified by track counting. OD was determined from grey level measurements on low magnification micrographs and proved to be a suitable parameter to quantify boron concentration. The images were originated by placing polycarbonate detectors in contact with samples containing 10B atoms, irradiated with thermal neutrons and finally chemically attacked. Reference standards were developed from aqueous solutions prepared with known boron concentrations in order to construct calibration curves. The obtained optical density values were compared with curves proposed by other authors, showing similar tendencies. The calibration curve was used to make preliminary boron concentration determinations in histological tissue sections of animals infused with boron compounds, which agreed with measurements realized by the QTA approach. The methodology proposed in this work would allow a fast preliminary analysis of histological and autoradiographic images in samples of interest for BNCT.
Fil: Vidal, C.. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; Argentina
Fil: Portu, Agustina Mariana. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Thorp, Silvia Inés. Comisión Nacional de Energía Atómica; Argentina
Fil: Curotto, Paula. Comisión Nacional de Energía Atómica; Argentina
Fil: Pozzi, E.. Comisión Nacional de Energía Atómica; Argentina
Fil: Saint Martin, María Laura Gisela. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional de San Martín. Instituto Sabato; Argentina - Materia
-
BNCT
BORON MICRODISTRIBUTION
GREY LEVEL
NEUTRON AUTORADIOGRAPHY
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:11336/98284
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Optical density analysis in autoradiographic images from BNCT protocolsVidal, C.Portu, Agustina MarianaThorp, Silvia InésCurotto, PaulaPozzi, E.Saint Martin, María Laura GiselaBNCTBORON MICRODISTRIBUTIONGREY LEVELNEUTRON AUTORADIOGRAPHYOPTICAL DENSITYhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1In Boron Neutron Capture Therapy (BNCT) research, information on spatial distribution and concentration of boron in tissues is essential for the treatment planning and for dose determination. Neutron autoradiography technique offers the possibility to gain insight into boron biodistribution in tissues. The irradiation of tissue sections deposited on nuclear track detectors produces damages in the latter, which can be visualized by microscope imaging and that are spatially correlated with the boron localization in the biological section. We had previously developed a methodology for the quantification of boron concentration in tissue samples by nuclear track density determination (QTA). In this work we analyzed the optical density (OD) in autoradiographic images where track density is too high to be quantified by track counting. OD was determined from grey level measurements on low magnification micrographs and proved to be a suitable parameter to quantify boron concentration. The images were originated by placing polycarbonate detectors in contact with samples containing 10B atoms, irradiated with thermal neutrons and finally chemically attacked. Reference standards were developed from aqueous solutions prepared with known boron concentrations in order to construct calibration curves. The obtained optical density values were compared with curves proposed by other authors, showing similar tendencies. The calibration curve was used to make preliminary boron concentration determinations in histological tissue sections of animals infused with boron compounds, which agreed with measurements realized by the QTA approach. The methodology proposed in this work would allow a fast preliminary analysis of histological and autoradiographic images in samples of interest for BNCT.Fil: Vidal, C.. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; ArgentinaFil: Portu, Agustina Mariana. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Thorp, Silvia Inés. Comisión Nacional de Energía Atómica; ArgentinaFil: Curotto, Paula. Comisión Nacional de Energía Atómica; ArgentinaFil: Pozzi, E.. Comisión Nacional de Energía Atómica; ArgentinaFil: Saint Martin, María Laura Gisela. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional de San Martín. Instituto Sabato; ArgentinaPergamon-Elsevier Science Ltd2018-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/98284Vidal, C.; Portu, Agustina Mariana; Thorp, Silvia Inés; Curotto, Paula; Pozzi, E.; et al.; Optical density analysis in autoradiographic images from BNCT protocols; Pergamon-Elsevier Science Ltd; Radiation Measurements; 119; 12-2018; 121-1241350-4487CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1350448718301203info:eu-repo/semantics/altIdentifier/doi/10.1016/j.radmeas.2018.10.005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:29:11Zoai:ri.conicet.gov.ar:11336/98284instacron: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:34982025-10-15 14:29:11.56CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Optical density analysis in autoradiographic images from BNCT protocols |
title |
Optical density analysis in autoradiographic images from BNCT protocols |
spellingShingle |
Optical density analysis in autoradiographic images from BNCT protocols Vidal, C. BNCT BORON MICRODISTRIBUTION GREY LEVEL NEUTRON AUTORADIOGRAPHY OPTICAL DENSITY |
title_short |
Optical density analysis in autoradiographic images from BNCT protocols |
title_full |
Optical density analysis in autoradiographic images from BNCT protocols |
title_fullStr |
Optical density analysis in autoradiographic images from BNCT protocols |
title_full_unstemmed |
Optical density analysis in autoradiographic images from BNCT protocols |
title_sort |
Optical density analysis in autoradiographic images from BNCT protocols |
dc.creator.none.fl_str_mv |
Vidal, C. Portu, Agustina Mariana Thorp, Silvia Inés Curotto, Paula Pozzi, E. Saint Martin, María Laura Gisela |
author |
Vidal, C. |
author_facet |
Vidal, C. Portu, Agustina Mariana Thorp, Silvia Inés Curotto, Paula Pozzi, E. Saint Martin, María Laura Gisela |
author_role |
author |
author2 |
Portu, Agustina Mariana Thorp, Silvia Inés Curotto, Paula Pozzi, E. Saint Martin, María Laura Gisela |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
BNCT BORON MICRODISTRIBUTION GREY LEVEL NEUTRON AUTORADIOGRAPHY OPTICAL DENSITY |
topic |
BNCT BORON MICRODISTRIBUTION GREY LEVEL NEUTRON AUTORADIOGRAPHY 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 |
In Boron Neutron Capture Therapy (BNCT) research, information on spatial distribution and concentration of boron in tissues is essential for the treatment planning and for dose determination. Neutron autoradiography technique offers the possibility to gain insight into boron biodistribution in tissues. The irradiation of tissue sections deposited on nuclear track detectors produces damages in the latter, which can be visualized by microscope imaging and that are spatially correlated with the boron localization in the biological section. We had previously developed a methodology for the quantification of boron concentration in tissue samples by nuclear track density determination (QTA). In this work we analyzed the optical density (OD) in autoradiographic images where track density is too high to be quantified by track counting. OD was determined from grey level measurements on low magnification micrographs and proved to be a suitable parameter to quantify boron concentration. The images were originated by placing polycarbonate detectors in contact with samples containing 10B atoms, irradiated with thermal neutrons and finally chemically attacked. Reference standards were developed from aqueous solutions prepared with known boron concentrations in order to construct calibration curves. The obtained optical density values were compared with curves proposed by other authors, showing similar tendencies. The calibration curve was used to make preliminary boron concentration determinations in histological tissue sections of animals infused with boron compounds, which agreed with measurements realized by the QTA approach. The methodology proposed in this work would allow a fast preliminary analysis of histological and autoradiographic images in samples of interest for BNCT. Fil: Vidal, C.. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; Argentina Fil: Portu, Agustina Mariana. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Thorp, Silvia Inés. Comisión Nacional de Energía Atómica; Argentina Fil: Curotto, Paula. Comisión Nacional de Energía Atómica; Argentina Fil: Pozzi, E.. Comisión Nacional de Energía Atómica; Argentina Fil: Saint Martin, María Laura Gisela. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional de San Martín. Instituto Sabato; Argentina |
description |
In Boron Neutron Capture Therapy (BNCT) research, information on spatial distribution and concentration of boron in tissues is essential for the treatment planning and for dose determination. Neutron autoradiography technique offers the possibility to gain insight into boron biodistribution in tissues. The irradiation of tissue sections deposited on nuclear track detectors produces damages in the latter, which can be visualized by microscope imaging and that are spatially correlated with the boron localization in the biological section. We had previously developed a methodology for the quantification of boron concentration in tissue samples by nuclear track density determination (QTA). In this work we analyzed the optical density (OD) in autoradiographic images where track density is too high to be quantified by track counting. OD was determined from grey level measurements on low magnification micrographs and proved to be a suitable parameter to quantify boron concentration. The images were originated by placing polycarbonate detectors in contact with samples containing 10B atoms, irradiated with thermal neutrons and finally chemically attacked. Reference standards were developed from aqueous solutions prepared with known boron concentrations in order to construct calibration curves. The obtained optical density values were compared with curves proposed by other authors, showing similar tendencies. The calibration curve was used to make preliminary boron concentration determinations in histological tissue sections of animals infused with boron compounds, which agreed with measurements realized by the QTA approach. The methodology proposed in this work would allow a fast preliminary analysis of histological and autoradiographic images in samples of interest for BNCT. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12 |
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/11336/98284 Vidal, C.; Portu, Agustina Mariana; Thorp, Silvia Inés; Curotto, Paula; Pozzi, E.; et al.; Optical density analysis in autoradiographic images from BNCT protocols; Pergamon-Elsevier Science Ltd; Radiation Measurements; 119; 12-2018; 121-124 1350-4487 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/98284 |
identifier_str_mv |
Vidal, C.; Portu, Agustina Mariana; Thorp, Silvia Inés; Curotto, Paula; Pozzi, E.; et al.; Optical density analysis in autoradiographic images from BNCT protocols; Pergamon-Elsevier Science Ltd; Radiation Measurements; 119; 12-2018; 121-124 1350-4487 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.sciencedirect.com/science/article/pii/S1350448718301203 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.radmeas.2018.10.005 |
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 application/pdf |
dc.publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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1846082760819605504 |
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13.22299 |