dc.creatorMari
dc.creatorJoao Fernando; Saito
dc.creatorJose Hiroki; Neves
dc.creatorAmanda Ferreira; da Cruz Lotufo
dc.creatorCelina Monteiro; Destro-Filho
dc.creatorJoao-Batista; Nicoletti
dc.creatorMaria do Carmo
dc.date2015-DEC
dc.date2016-06-07T13:35:22Z
dc.date2016-06-07T13:35:22Z
dc.date.accessioned2018-03-29T01:50:55Z
dc.date.available2018-03-29T01:50:55Z
dc.identifier
dc.identifierQuantitative Analysis Of Rat Dorsal Root Ganglion Neurons Cultured On Microelectrode Arrays Based On Fluorescence Microscopy Image Processing. World Scientific Publ Co Pte Ltd, v. 25, p. DEC-2015.
dc.identifier0129-0657
dc.identifierWOS:000365517900002
dc.identifier10.1142/S0129065715500331
dc.identifierhttp://www.worldscientific.com/doi/10.1142/S0129065715500331
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/244115
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1307813
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionMicroelectrode 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.
dc.description25
dc.description8
dc.description
dc.description
dc.description
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.descriptionUFSCar
dc.descriptionFACCAMP
dc.descriptionUFV
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description
dc.description
dc.description
dc.languageen
dc.publisherWORLD SCIENTIFIC PUBL CO PTE LTD
dc.publisher
dc.publisherSINGAPORE
dc.relationINTERNATIONAL JOURNAL OF NEURAL SYSTEMS
dc.rightsfechado
dc.sourceWOS
dc.subjectSpiking Neural-networks
dc.subjectVoronoi Diagrams
dc.subjectCortical-neurons
dc.subjectSegmentation
dc.subjectSelection
dc.subjectCell
dc.subjectAlgorithms
dc.subjectResistance
dc.subjectInterface
dc.subjectMigration
dc.titleQuantitative Analysis Of Rat Dorsal Root Ganglion Neurons Cultured On Microelectrode Arrays Based On Fluorescence Microscopy Image Processing
dc.typeArtículos de revistas


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