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Freely Available Tool (FAT) for automated quantification of lipid droplets in stained cells

Diego Masone1,2, Aldana D. Gojanovich1, Yesica R. Frontini-Lopez1, Samanta DEL Veliz1, Marina Uhart1, Diego M. Bustos1,3*

1 Laboratorio de Integración de Señales Celulares. IHEM-CONICET, Universidad Nacional de Cuyo Mendoza, Argentina.
2 Facultad de Ingeniería, Universidad Nacional de Cuyo, Mendoza, Argentina.
3 Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo, Mendoza, Argentina.

* Address correspondence to: Diego M. Bustos, email

BIOCELL 2017, 41(2-3), 55-58. https://doi.org/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.

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Cite This Article

APA Style
Masone, D., Gojanovich, A.D., Frontini-Lopez, Y.R., Veliz, S.D., Uhart, M. et al. (2017). Freely available tool (FAT) for automated quantification of lipid droplets in stained cells. BIOCELL, 41(2-3), 55-58. https://doi.org/10.32604/biocell.2017.41.055
Vancouver Style
Masone D, Gojanovich AD, Frontini-Lopez YR, Veliz SD, Uhart M, Bustos DM. Freely available tool (FAT) for automated quantification of lipid droplets in stained cells. BIOCELL . 2017;41(2-3):55-58 https://doi.org/10.32604/biocell.2017.41.055
IEEE Style
D. Masone, A.D. Gojanovich, Y.R. Frontini-Lopez, S.D. Veliz, M. Uhart, and D.M. Bustos, “Freely Available Tool (FAT) for automated quantification of lipid droplets in stained cells,” BIOCELL , vol. 41, no. 2-3, pp. 55-58, 2017. https://doi.org/10.32604/biocell.2017.41.055



cc Copyright © 2017 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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