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.Prospect...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.展开更多
基金supported by grants from ANPCyT(PICT-111450,PICT-122498 and PICT-141659)MinCyT(Iniciativa de Proyectos Acelerados de C\’alculo)IPAC 2016(SACT 017-00721036)+3 种基金IPAC 2017(2017-75-APN-SECACT\#MCT)CONICET(PIP-13CO01)SeCTyP-UNCuyo(J051)the Roemmers Foundation.
文摘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.
