Automated classification of somatic plant embryos

Jari Hämäläinen, Ulrika Kurten, Juhani Heilala, Veli Kauppinen

Research output: Contribution to journalArticleScientificpeer-review

Abstract

A computer vision system for the classification and selection of somatic plant embryos was developed. The proportions of embryos at different developmental stages in liquid samples from the bioreactor give an estimate of the state of the embryo production process.
The considerable shape variation of the embryos and the presence of undifferentiated cell aggregates make the automated classification difficult. However, the specific classification algorithm developed for birch (Betula pendula Roth.) somatic embryos showed that reliable automated recognition of embryos is possible without a significant number of false selections.
The system constructed can also be used to automatically monitor cell suspension cultures of other plants. However, a specific recognition algorithm needs to be implemented for every plant species.
Algorithms already exist for the recognition of birch and Norway spruce (Picea abies) somatic embryos.
Original languageEnglish
Pages (from-to)601-606
JournalActa Horticulturae
Issue number319
DOIs
Publication statusPublished - 1992
MoE publication typeA1 Journal article-refereed
EventInternational Symp. on Transplant Production Systems ISTPS '92 - Yokohama, Japan
Duration: 21 Jul 199226 Jul 1992

Fingerprint

embryo (plant)
somatic embryos
Betula
Picea abies
Betula pendula
computer vision
cell aggregates
bioreactors
cell suspension culture
developmental stages
liquids
sampling

Cite this

Hämäläinen, Jari ; Kurten, Ulrika ; Heilala, Juhani ; Kauppinen, Veli. / Automated classification of somatic plant embryos. In: Acta Horticulturae. 1992 ; No. 319. pp. 601-606.
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abstract = "A computer vision system for the classification and selection of somatic plant embryos was developed. The proportions of embryos at different developmental stages in liquid samples from the bioreactor give an estimate of the state of the embryo production process. The considerable shape variation of the embryos and the presence of undifferentiated cell aggregates make the automated classification difficult. However, the specific classification algorithm developed for birch (Betula pendula Roth.) somatic embryos showed that reliable automated recognition of embryos is possible without a significant number of false selections. The system constructed can also be used to automatically monitor cell suspension cultures of other plants. However, a specific recognition algorithm needs to be implemented for every plant species. Algorithms already exist for the recognition of birch and Norway spruce (Picea abies) somatic embryos.",
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Automated classification of somatic plant embryos. / Hämäläinen, Jari; Kurten, Ulrika; Heilala, Juhani; Kauppinen, Veli.

In: Acta Horticulturae, No. 319, 1992, p. 601-606.

Research output: Contribution to journalArticleScientificpeer-review

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