Diego Masone1,2, Aldana D. Gojanovich1, Yesica R. Frontini-Lopez1, Samanta DEL Veliz1, Marina Uhart1, Diego M. Bustos1,3*
BIOCELL, Vol.41, No.2-3, pp. 55-58, 2017, DOI:10.32604/biocell.2017.41.055
Abstract In this study, we propose an automatic procedure for digital image processing. We describe a method that can efficiently quantify and characterize lipid droplets distributions in different cell types in culture. Prospectively, the lipid droplets detection method described in this work could be applied to static or time-lapse data, collected with a simple visible light or fluorescence microscopy equipment. Fully automated algorithms were implemented in Octave, a freely available scientific package. More >
Login
Register
