Abstract
This article deals with the automation of the process of
somatic embryogenesis for the propagation of plants. An important
problem is the monitoring of the embryo production process in order to
decide the time to start harvesting embryos for further processing. The
classification algorithm development for somatic embryos of birch (Betula pendula
Roth) showed that automated recognition of embryos at different
developmental stages is possible. No globular stage embryos were
classified to be heart or torpedo stage and no heart or torpedo stage
embryos were classified to be at globular stage. Heart and torpedo stage
embryos were classified into three developmental classes by a new index
that describes the relation of embryo breadth to the length of the
root. The probability of classifying a nonembryo as an embryo was less
than 1%, and 14% of the object classified as embryos by a human expert
were discarded by the algorithm. A computer vision system suitable for
automated monitoring of samples from the bioreactor was constructed.
| Original language | English |
|---|---|
| Pages (from-to) | 35 - 42 |
| Number of pages | 8 |
| Journal | Biotechnology and Bioengineering |
| Volume | 41 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1993 |
| MoE publication type | A1 Journal article-refereed |