Reconstruction of neural network by self-organized polymer substrates

A. Tsuruma, M. Tanaka, N. Fukushima, M. Shimomura

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    Reconstruction of neural network using self-organized polymer substrates was analyzed. Poly( ε -caprolactone)(PCL) and amphipathic polymer were mixed together and dissolved in chloroform at weight ratio of 10 vs 1. Tissues were transferred to culture medium containing 55μM 2-mercaptoethanol and gently triturated with a fire polished pasteur pipette until tissues were mostly dissociated into sigle cells. The results show that self-organized patterned films could provide guidance of neurite extension and scaffold of neural tissue engineering.

    Original languageEnglish
    Title of host publicationTransactions - 7th World Biomaterials Congress
    Number of pages1
    Publication statusPublished - 2004
    EventTransactions - 7th World Biomaterials Congress - Sydney, Australia
    Duration: 2004 May 172004 May 21

    Publication series

    NameTransactions - 7th World Biomaterials Congress


    OtherTransactions - 7th World Biomaterials Congress

    ASJC Scopus subject areas

    • Engineering(all)


    Dive into the research topics of 'Reconstruction of neural network by self-organized polymer substrates'. Together they form a unique fingerprint.

    Cite this