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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/98284

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spelling 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
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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