Comparison of pre-processing techniques for fluorescence microscopy images of cells labeled for actin.
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.
Muralidhar
Gautam S
GS
University of Texas, Department of Biomedical Engineering, Austin, TX, USA.
Channappayya
Sumohana S
SS
Slater
John H
JH
Blinka
Ellen M
EM
Bovik
Alan C
AC
Frey
Wolfgang
W
Markey
Mia K
MK
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
D000199:Actins