Automated quantification of dopaminergic immunostained neurons in substantia nigra using freely available software

Computerized techniques for image analysis are critical for progress in cell biology. The complexity of the data in current methods eliminates the need for manual image analysis and usually requires the application of multiple algorithms sequentially to the images. Our aim was to develop a software...

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Autores principales: Bonaccorso Marinelli, María Paula, Baiardi, Gustavo Carlos, Valdez, Susana Ruth, Cabrera, Ricardo Jorge
Formato: Artículo
Lenguaje:Español
Publicado: Springer Science and Business Media Deutschland GmbH 2022
Materias:
Q Ciencia (General)
R Medicina (General)
Acceso en línea:http://pa.bibdigital.ucc.edu.ar/3381/1/A_Bonaccorso_Baiardi_Valdez.pdf
Aporte de:
Producción Académica Universidad Católica de Córdoba (UCCor) de Universidad Católica de Córdoba
id I38-R144-3381
record_format dspace
spelling I38-R144-33812025-04-07T19:32:55Z http://pa.bibdigital.ucc.edu.ar/3381/ Automated quantification of dopaminergic immunostained neurons in substantia nigra using freely available software Bonaccorso Marinelli, María Paula Baiardi, Gustavo Carlos Valdez, Susana Ruth Cabrera, Ricardo Jorge Q Ciencia (General) R Medicina (General) Computerized techniques for image analysis are critical for progress in cell biology. The complexity of the data in current methods eliminates the need for manual image analysis and usually requires the application of multiple algorithms sequentially to the images. Our aim was to develop a software for immunohistochemical analysis of brain dopaminergic neurons combining several computational approaches to automatically analyze and quantify their number in the substantia nigra after a neurotoxic injury. For this purpose, we used a Parkinson’s disease animal model to test our application. The dopaminergic neurotoxin, 6-hydroxydopamine, was administered in adult male rats to damage dopaminergic neurons in substantia nigra and to induce hemiparkinsonism. The lesion was corroborated by behavioral evaluation in response to apomorphine and amphetamine. The animals were euthanized and their brains processed for tyrosine hydroxylase immunohistochemistry for dopamine neuron identification. Neurons positive for tyrosine hydroxylase were evaluated in substantia nigra by light microscopy. The images were used to show quantification applicability. To test our software counting accuracy and validity, automatic dopamine neuron number was correlated with the data obtained by three independent observers. Several parameters were used to depict neuronal function in dataset images from control and lesioned brains. In conclusion, we could perform an automated quantification of dopaminergic neurons and corroborate the validity and accuracy of a freely available software. Springer Science and Business Media Deutschland GmbH 2022-10 info:eu-repo/semantics/article info:eu-repo/semantics/closedAccess application/pdf spa http://pa.bibdigital.ucc.edu.ar/3381/1/A_Bonaccorso_Baiardi_Valdez.pdf Bonaccorso Marinelli, María Paula ORCID: https://orcid.org/0000-0002-4390-0792 <https://orcid.org/0000-0002-4390-0792>, Baiardi, Gustavo Carlos ORCID: https://orcid.org/0000-0003-4329-4398 <https://orcid.org/0000-0003-4329-4398>, Valdez, Susana Ruth and Cabrera, Ricardo Jorge (2022) Automated quantification of dopaminergic immunostained neurons in substantia nigra using freely available software. Medical and Biological Engineering and Computing, 60 (10). pp. 2995-3007. ISSN 0140-0118 https://link.springer.com/article/10.1007/s11517-022-02643-8 info:eu-repo/semantics/altIdentifier/doi/10.1007/s11517-022-02643-8
institution Universidad Católica de Córdoba
institution_str I-38
repository_str R-144
collection Producción Académica Universidad Católica de Córdoba (UCCor)
language Español
orig_language_str_mv spa
topic Q Ciencia (General)
R Medicina (General)
spellingShingle Q Ciencia (General)
R Medicina (General)
Bonaccorso Marinelli, María Paula
Baiardi, Gustavo Carlos
Valdez, Susana Ruth
Cabrera, Ricardo Jorge
Automated quantification of dopaminergic immunostained neurons in substantia nigra using freely available software
topic_facet Q Ciencia (General)
R Medicina (General)
description Computerized techniques for image analysis are critical for progress in cell biology. The complexity of the data in current methods eliminates the need for manual image analysis and usually requires the application of multiple algorithms sequentially to the images. Our aim was to develop a software for immunohistochemical analysis of brain dopaminergic neurons combining several computational approaches to automatically analyze and quantify their number in the substantia nigra after a neurotoxic injury. For this purpose, we used a Parkinson’s disease animal model to test our application. The dopaminergic neurotoxin, 6-hydroxydopamine, was administered in adult male rats to damage dopaminergic neurons in substantia nigra and to induce hemiparkinsonism. The lesion was corroborated by behavioral evaluation in response to apomorphine and amphetamine. The animals were euthanized and their brains processed for tyrosine hydroxylase immunohistochemistry for dopamine neuron identification. Neurons positive for tyrosine hydroxylase were evaluated in substantia nigra by light microscopy. The images were used to show quantification applicability. To test our software counting accuracy and validity, automatic dopamine neuron number was correlated with the data obtained by three independent observers. Several parameters were used to depict neuronal function in dataset images from control and lesioned brains. In conclusion, we could perform an automated quantification of dopaminergic neurons and corroborate the validity and accuracy of a freely available software.
format Artículo
author Bonaccorso Marinelli, María Paula
Baiardi, Gustavo Carlos
Valdez, Susana Ruth
Cabrera, Ricardo Jorge
author_facet Bonaccorso Marinelli, María Paula
Baiardi, Gustavo Carlos
Valdez, Susana Ruth
Cabrera, Ricardo Jorge
author_sort Bonaccorso Marinelli, María Paula
title Automated quantification of dopaminergic immunostained neurons in substantia nigra using freely available software
title_short Automated quantification of dopaminergic immunostained neurons in substantia nigra using freely available software
title_full Automated quantification of dopaminergic immunostained neurons in substantia nigra using freely available software
title_fullStr Automated quantification of dopaminergic immunostained neurons in substantia nigra using freely available software
title_full_unstemmed Automated quantification of dopaminergic immunostained neurons in substantia nigra using freely available software
title_sort automated quantification of dopaminergic immunostained neurons in substantia nigra using freely available software
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
url http://pa.bibdigital.ucc.edu.ar/3381/1/A_Bonaccorso_Baiardi_Valdez.pdf
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