The monitoring of oil production process by deep learning based on morphology in oleaginous yeasts
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M. Mizoshiri | W. Ogasawara | M. Iwahashi | Y. Shida | Ryosuke Harakawa | Yuki Kitahara | Toru Nakamura | M. Okamura | Aya Itani | Kazuma Ohtomo | Yosuke Oda | Yuka Takahashi
[1] Ken Kasahara,et al. A real-time monitoring system for automatic morphology analysis of yeast cultivation in a jar fermenter , 2022, Applied Microbiology and Biotechnology.
[2] M. Haseyama,et al. User-centric multimodal feature extraction for personalized retrieval of tumblr posts , 2021, Multimedia Tools and Applications.
[3] C. Chuck,et al. The history, state of the art and future prospects for oleaginous yeast research , 2021, Microbial Cell Factories.
[4] D. Vodnar,et al. Recent Advances in Biotechnological Itaconic Acid Production, and Application for a Sustainable Approach , 2021, Polymers.
[5] M. Jiang,et al. Challenges and Future Perspectives of Promising Biotechnologies for Lignocellulosic Biorefinery , 2021, Molecules.
[6] Sergey Ablameyko,et al. A survey on applications of deep learning in microscopy image analysis , 2021, Comput. Biol. Medicine.
[7] Ju Chu,et al. Real-time and on-line monitoring of ethanol fermentation process by viable cell sensor and electronic nose , 2021, Bioresources and Bioprocessing.
[8] K. Yaoi,et al. Lipid metabolism of the oleaginous yeast Lipomyces starkeyi , 2020, Applied Microbiology and Biotechnology.
[9] Vadim Zinchuk,et al. Machine Learning for Analysis of Microscopy Images: A Practical Guide , 2020, Current protocols in cell biology.
[10] Alan M. Moses,et al. YeastSpotter: accurate and parameter-free web segmentation for microscopy images of yeast cells , 2019, Bioinform..
[11] J. Teixeira,et al. Oleaginous yeasts for sustainable lipid production—from biodiesel to surf boards, a wide range of “green” applications , 2019, Applied Microbiology and Biotechnology.
[12] Xu Ji,et al. Invariant Information Clustering for Unsupervised Image Classification and Segmentation , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[13] J. Emmerich,et al. Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy , 2018, Microbial Cell Factories.
[14] S. Papanikolaou,et al. Critical steps in carbon metabolism affecting lipid accumulation and their regulation in oleaginous microorganisms , 2018, Applied Microbiology and Biotechnology.
[15] Rodrigo Ledesma-Amaro,et al. The Engineering Potential of Rhodosporidium toruloides as a Workhorse for Biotechnological Applications. , 2017, Trends in biotechnology.
[16] S. Papanikolaou,et al. Storage lipid and polysaccharide metabolism in Yarrowia lipolytica and Umbelopsis isabellina , 2017, Applied Microbiology and Biotechnology.
[17] Fabian Rudolf,et al. Characterization of Single Yeast Cell Phenotypes Using Microfluidic Impedance Cytometry and Optical Imaging , 2016 .
[18] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Ariel Amir,et al. Single-Cell Analysis of Growth in Budding Yeast and Bacteria Reveals a Common Size Regulation Strategy , 2014, Current Biology.
[20] Dörte Solle,et al. Sensor systems for bioprocess monitoring , 2015 .
[21] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[22] G. Daum,et al. Storage lipids of yeasts: a survey of nonpolar lipid metabolism in Saccharomyces cerevisiae, Pichia pastoris, and Yarrowia lipolytica. , 2014, FEMS microbiology reviews.
[23] E. Casiraghi,et al. Monitoring of Lactic Acid Fermentation Process Using Fourier Transform near Infrared Spectroscopy , 2013 .
[24] K. Chapman,et al. Biogenesis and functions of lipid droplets in plants , 2012, Journal of Lipid Research.
[25] H. Zou,et al. A multi-omic map of the lipid-producing yeast Rhodosporidium toruloides , 2012, Nature Communications.
[26] K. Masaki,et al. Phylogenetic and biochemical characterization of the oil-producing yeast Lipomyces starkeyi , 2012, Antonie van Leeuwenhoek.
[27] H. Yoshimoto. Development of Monitoring Yeast Physiological State during Fermentation by Quantitave Cell Morphogenesis Analysis , 2011 .
[28] J. Rittscher. Characterization of biological processes through automated image analysis. , 2010, Annual review of biomedical engineering.
[29] William H. Grover,et al. Using buoyant mass to measure the growth of single cells , 2010, Nature Methods.
[30] A. Hoekstra,et al. The water footprint of bioenergy , 2009, Proceedings of the National Academy of Sciences.
[31] Stephen T. C. Wong,et al. Microscopic Image Analysis for Life Science Applications , 2008 .
[32] Anne E Carpenter,et al. CellProfiler: image analysis software for identifying and quantifying cell phenotypes , 2006, Genome Biology.
[33] M. Papagianni,et al. Morphological development of Aspergillus niger in submerged citric acid fermentation as a function of the spore inoculum level. Application of neural network and cluster analysis for characterization of mycelial morphology , 2006, Microbial cell factories.
[34] C. Ratledge,et al. The biochemistry and molecular biology of lipid accumulation in oleaginous microorganisms. , 2002, Advances in applied microbiology.
[35] A. Bretscher,et al. Polarization of cell growth in yeast. , 2000, Journal of cell science.
[36] Anthony Bretscher,et al. Polarization of cell growth in yeast II . The role of the cortical actin cytoskeleton , 2000 .
[37] J. Leman,et al. Oleaginous microorganisms: an assessment of the potential. , 1997, Advances in applied microbiology.
[38] S. Papanikolaou,et al. 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 , 1995 .
[39] C. Ratledge. Microorganisms for lipids , 1991 .
[40] P. K. Bjørnsen. Automatic Determination of Bacterioplankton Biomass by Image Analysis , 1986, Applied and environmental microbiology.
[41] L. Hartwell. Saccharomyces cerevisiae cell cycle. , 1974, Bacteriological reviews.