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.
    @article{77485bac8b6944219e802d9313b73e5c,
    title = "Automated classification of somatic plant embryos",
    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.",
    author = "Jari H{\"a}m{\"a}l{\"a}inen and Ulrika Kurten and Juhani Heilala and Veli Kauppinen",
    note = "Project code: KOT1009",
    year = "1992",
    doi = "10.17660/ActaHortic.1992.319.96",
    language = "English",
    pages = "601--606",
    journal = "Acta Horticulturae",
    issn = "0567-7572",
    publisher = "International Society for Horticultural Science",
    number = "319",

    }

    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

    TY - JOUR

    T1 - Automated classification of somatic plant embryos

    AU - Hämäläinen, Jari

    AU - Kurten, Ulrika

    AU - Heilala, Juhani

    AU - Kauppinen, Veli

    N1 - Project code: KOT1009

    PY - 1992

    Y1 - 1992

    N2 - 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.

    AB - 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.

    U2 - 10.17660/ActaHortic.1992.319.96

    DO - 10.17660/ActaHortic.1992.319.96

    M3 - Article

    SP - 601

    EP - 606

    JO - Acta Horticulturae

    JF - Acta Horticulturae

    SN - 0567-7572

    IS - 319

    ER -