The monitoring of oil production process by deep learning based on morphology in oleaginous yeasts
Author:
Funder
New Energy and Industrial Technology Development Organization
Publisher
Springer Science and Business Media LLC
Subject
Applied Microbiology and Biotechnology,General Medicine,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s00253-022-12338-7.pdf
Reference40 articles.
1. Abeln F, Chuck JC (2021) The history, state of the art and future prospects for oleaginous yeast research. Microb Cell Factories 20:221. https://doi.org/10.1186/s12934-021-01712-1
2. Aggelis G, Komaitis M, Papanikolaou S, Papadopoulos G (1995) A mathematical model for the study of lipid accumulation in oleaginous microorganisms. I. Lipid accumulation during growth of Mucor circinelloides CBS 172–27 on a vegetable oil. Grasas Aceites 46:169–173. https://doi.org/10.3989/gya.1995.v46.i3.921
3. Biechele P, Busse C, Solle D, Scheper T, Reardon K (2015) Sensor systems for bioprocess monitoring. Eng Life Sci 15:469–488. https://doi.org/10.1002/elsc.201500014
4. Bjørnsen PK (1986) Automatic determination of bacterioplankton biomass by image analysis. Appl Environ Microbiol 51:1199–1204. https://doi.org/10.1128/aem.51.6.1199-1204.1986
5. Carpenter AE, Jones TR, Lamprrecht MR, Clarke C, Kang IH, Friman O, Guertin DA, Chang JH, Lindquist RA, Moffat J, Golland P, Sabatini DM (2006) Cell Profiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biol 7:R100. https://doi.org/10.1186/gb-2006-7-10-r100
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