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dc.contributor.author
Vidal, C.
dc.contributor.author
Portu, Agustina Mariana
dc.contributor.author
Thorp, Silvia Inés
dc.contributor.author
Curotto, Paula
dc.contributor.author
Pozzi, E.
dc.contributor.author
Saint Martin, María Laura Gisela
dc.date.available
2020-02-21T18:12:02Z
dc.date.issued
2018-12
dc.identifier.citation
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
dc.identifier.issn
1350-4487
dc.identifier.uri
http://hdl.handle.net/11336/98284
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Pergamon-Elsevier Science Ltd
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
BNCT
dc.subject
BORON MICRODISTRIBUTION
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GREY LEVEL
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NEUTRON AUTORADIOGRAPHY
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OPTICAL DENSITY
dc.subject.classification
Otras Ciencias Físicas
dc.subject.classification
Ciencias Físicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Optical density analysis in autoradiographic images from BNCT protocols
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-02-18T16:03:05Z
dc.journal.volume
119
dc.journal.pagination
121-124
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Vidal, C.. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; Argentina
dc.description.fil
Fil: Portu, Agustina Mariana. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Thorp, Silvia Inés. Comisión Nacional de Energía Atómica; Argentina
dc.description.fil
Fil: Curotto, Paula. Comisión Nacional de Energía Atómica; Argentina
dc.description.fil
Fil: Pozzi, E.. Comisión Nacional de Energía Atómica; Argentina
dc.description.fil
Fil: Saint Martin, María Laura Gisela. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional de San Martín. Instituto Sabato; Argentina
dc.journal.title
Radiation Measurements
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1350448718301203
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.radmeas.2018.10.005
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