A first glance on the enhancement of digital cell activity videos from glioblastoma cells with nuclear staining

Saul Calderon, Daniel Moya, Juan Carlos Cruz, Juan Manuel Valverde

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6 Citas (Scopus)

Resumen

In this work we explore a set of image enhancement techniques for improving contrast and removing noise from digital images of cell activity. The cells studied were extracted from cancerous brain tissue and exposed to different chemo-therapeutic agents, as microbiologists aim to analyze the behavior of cells exposed to different chemo-therapies. To ease and improve the precision of such analysis, an automatic cell tracking framework is of great interest. Thus, in this work we focus on the first stage of such framework, which refers to image preprocessing, aiming to noise removal and contrast enhancement, in order to improve cell segmentation and tracking performance. We compared the segmentation precision using different image preprocessing techniques based on the Deceived Weighting Average Framework (DeWAFF), reaching improvements of around 15 percent of segmentation accuracy, over no preprocessed images.

Idioma originalInglés
Título de la publicación alojada2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781467395786
DOI
EstadoPublicada - 2 jul 2016
Evento36th IEEE Central American and Panama Convention, CONCAPAN 2016 - San Jose, Costa Rica
Duración: 9 nov 201611 nov 2016

Serie de la publicación

Nombre2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016

Conferencia

Conferencia36th IEEE Central American and Panama Convention, CONCAPAN 2016
País/TerritorioCosta Rica
CiudadSan Jose
Período9/11/1611/11/16

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