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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampNeves, Amanda Ferreira-
dc.typeArtigopt_BR
dc.titleQuantitative analysis of rat dorsal root ganglion neurons cultured on microelectrode arrays based on fluorescence microscopy image processingpt_BR
dc.contributor.authorMari, João Fernando-
dc.contributor.authorSaito, José Hiroki-
dc.contributor.authorNeves, Amanda Ferreira-
dc.contributor.authorLotufo, Celina Monteiro da Cruz-
dc.contributor.authorDestro-Filho, João-Batista-
dc.contributor.authorNicoletti, Maria do Carmo-
dc.subjectMicroscopia de fluorescênciapt_BR
dc.subjectProcessamento de imagem assistida por computadorpt_BR
dc.subject.otherlanguageImage processing computer-assistedpt_BR
dc.subject.otherlanguageMicroscopy, fluorescencept_BR
dc.description.abstractMicroelectrode Arrays (MEA) are devices for long term electrophysiological recording of extracellular spontaneous or evocated activities on in vitro neuron culture. This work proposes and develops a framework for quantitative and morphological analysis of neuron cultures on MEAs, by processing their corresponding images, acquired by fluorescence microscopy. The neurons are segmented from the fluorescence channel images using a combination of segmentation by thresholding, watershed transform, and object classification. The positioning of microelectrodes is obtained from the transmitted light channel images using the circular Hough transform. The proposed method was applied to images of dissociated culture of rat dorsal root ganglion (DRG) neuronal cells. The morphological and topological quantitative analysis carried out produced information regarding the state of culture, such as population count, neuron-to-neuron and neuron-to-microelectrode distances, soma morphologies, neuron sizes, neuron and microelectrode spatial distributions. Most of the analysis of microscopy images taken from neuronal cultures on MEA only consider simple qualitative analysis. Also, the proposed framework aims to standardize the image processing and to compute quantitative useful measures for integrated image-signal studies and further computational simulations. As results show, the implemented microelectrode identification method is robust and so are the implemented neuron segmentation and classification one (with a correct segmentation rate up to 84%). The quantitative information retrieved by the method is highly relevant to assist the integrated signal-image study of recorded electrophysiological signals as well as the physical aspects of the neuron culture on MEA. Although the experiments deal with DRG cell images, cortical and hippocampal cell images could also be processed with small adjustments in the image processing parameter estimation.pt_BR
dc.relation.ispartofInternational journal of neural systemspt_BR
dc.relation.ispartofabbreviationInt. j. neural syst.pt_BR
dc.publisher.citySingaporept_BR
dc.publisher.countrySingapurapt_BR
dc.publisherWorld Scientificpt_BR
dc.date.issued2015-
dc.date.monthofcirculationOct.pt_BR
dc.language.isoengpt_BR
dc.description.volume25pt_BR
dc.description.issuenumber8pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn0129-0657pt_BR
dc.identifier.eissn1793-6462pt_BR
dc.identifier.doi10.1142/S0129065715500331pt_BR
dc.identifier.urlhttps://www.worldscientific.com/doi/10.1142/S0129065715500331pt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE MINAS GERAIS - FAPEMIGpt_BR
dc.description.sponsorshipCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQpt_BR
dc.description.sponsordocumentnumber558114/2010-5pt_BR
dc.description.sponsordocumentnumberTEC- APQ-02143-10pt_BR
dc.date.available2021-01-21T17:35:52Z-
dc.date.accessioned2021-01-21T17:35:52Z-
dc.description.provenanceSubmitted by Bruna Maria Campos da Cunha (bcampos@unicamp.br) on 2021-01-21T17:35:52Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-02-19T18:02:02Z : No. of bitstreams: 1 000365517900002.pdf: 4484828 bytes, checksum: 34b1e6f1fdeadd9fae6b8dcc4f9ea01c (MD5)en
dc.description.provenanceMade available in DSpace on 2021-01-21T17:35:52Z (GMT). No. of bitstreams: 0 Previous issue date: 2015en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/354569-
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.unidadeInstituto de Biologiapt_BR
dc.subject.keywordMicroelectrode arraypt_BR
dc.subject.keywordNeuronsegmentationpt_BR
dc.subject.keywordAutomated quantitative analysispt_BR
dc.identifier.source000365517900002pt_BR
dc.creator.orcidSem informaçãopt_BR
dc.type.formArtigopt_BR
dc.identifier.articleid1550033pt_BR
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