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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467395786
DOIs
StatePublished - 2 Jul 2016
Event36th IEEE Central American and Panama Convention, CONCAPAN 2016 - San Jose, Costa Rica
Duration: 9 Nov 201611 Nov 2016

Publication series

Name2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016

Conference

Conference36th IEEE Central American and Panama Convention, CONCAPAN 2016
Country/TerritoryCosta Rica
CitySan Jose
Period9/11/1611/11/16

Keywords

  • Biomedical Imaging
  • Contrast enhancement
  • Digital Image processing
  • Fluorescence based microscopy
  • Noise removal
  • Non lineal image filters

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