title: Comparison of pre-processing techniques for fluorescence microscopy images of cells labeled for actin.
abstract: Automated analysis of fluorescence microscopy images of endothelial cells labeled for actin is important for quantifying changes in the actin cytoskeleton. The current manual approach is laborious and inefficient. The goal of our work is to develop automated image analysis methods, thereby increasing cell analysis throughput. In this study, we present preliminary results on comparing different algorithms for cell segmentation and image denoising.
authors.affiliation: University of Texas, Department of Biomedical Engineering, Austin, TX, USA.
authors.forename: Gautam S
authors.initials: GS
authors.lastname: Muralidhar
authors.forename: Sumohana S
authors.initials: SS
authors.lastname: Channappayya
authors.forename: John H
authors.initials: JH
authors.lastname: Slater
authors.forename: Ellen M
authors.initials: EM
authors.lastname: Blinka
authors.forename: Alan C
authors.initials: AC
authors.lastname: Bovik
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Frey
authors.forename: Mia K
authors.initials: MK
authors.lastname: Markey
mesh_terms: D000199:Actins / Q000378:metabolism*; D000465:Algorithms; D002478:Cells, Cultured; D042783:Endothelial Cells / Q000166:cytology* / Q000378:metabolism*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D013781:Texas
chemical_list: D000199:Actins