Scale-Up and Automation in Plant Propagation 1991
DOI: 10.1016/b978-0-12-715008-6.50015-4
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Bioreactors and Image Analysis for Scale-Up and Plant Propagation

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Cited by 28 publications
(15 citation statements)
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“…Progress in building the technology necessary for a truly continuous culture system has been made in the form of a kinetic model of carrot somatic embryo development in suspension culture, in which substrate utilization, culture growth, and embryo development are monitored over the time course of an embryogenic culture [144]. The integration of such a model with image analysis hardware and software for monitoring embryo concentration and development will be a key to establishing an automated system for continuous somatic embryo production in bioreactors [145].…”
Section: Bioreactorsmentioning
confidence: 99%
“…Progress in building the technology necessary for a truly continuous culture system has been made in the form of a kinetic model of carrot somatic embryo development in suspension culture, in which substrate utilization, culture growth, and embryo development are monitored over the time course of an embryogenic culture [144]. The integration of such a model with image analysis hardware and software for monitoring embryo concentration and development will be a key to establishing an automated system for continuous somatic embryo production in bioreactors [145].…”
Section: Bioreactorsmentioning
confidence: 99%
“…The software was first established by Cazzulino et al (1990Cazzulino et al ( , 1991 and modified to enable automatic counting of each embryo stage through a Model 3000 Image Analyzer (Image Technology, Deer Park, N.Y.). The software was first established by Cazzulino et al (1990Cazzulino et al ( , 1991 and modified to enable automatic counting of each embryo stage through a Model 3000 Image Analyzer (Image Technology, Deer Park, N.Y.).…”
Section: Methodsmentioning
confidence: 99%
“…The situation is even more complex when Fourier descriptors are used as it is difficult to find a real physical significance to them. Data-mining tools such as Principal Component Analysis [90,135,157,158], Discriminant Analysis [82], fuzzy logic and Artificial Neural Nets [41,72,95,132,133,159] are useful for clarifying the situation.…”
Section: ) Pellet Convex Area -Core Convex Areamentioning
confidence: 99%