Extracting regions of lipid droplets from confocal microscopy images utilizing optical properties of oleaginous yeast

Abstract Non-invasive methods for observing the morphology of living oleaginous yeast are ideal for optimizing the production of various oils, such as food oils, oleochemicals, and biodiesel, from oleaginous yeast. However, existing methods have been developed to target budding yeast without high oi...

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Detalhes bibliográficos

Principais autores:	Ryosuke Harakawa, Yuki Imai, Yuka Takahashi, Seiya Ueda, Hiromi Shoji, Ayaka Itani, Akihiro Nakamura, Yosuke Shida, Wataru Ogasawara, Masahiro Iwahashi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2025-09-01
coleção:	Applied Microbiology and Biotechnology
Assuntos:	Image processing Deep learning Fermentation science Oleaginous yeast Non-invasive detection Confocal microscopy
Acesso em linha:	https://doi.org/10.1007/s00253-025-13591-2
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