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    TEDD Workshop: Non-invasive analysis of microtissues and organoids with spatially resolved imaging technologies

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    Date
    • 12 April 2023 00:00 - 17:00 Add to Google Calendar Add to iCalendar
    Biotechnet platform
    TEDD - Tissue Engineering for Drug Development and Substance Testing
    Event details

    Three-dimensional 3D cell models offer enormous innovation potentials for instance in medicine, to treat patients in a highly individualised way or in the food industry for the development of alternative methods to produce clean meat.

    However, the assessment and long term monitoring of these complex 3D tissue analogues need versatile imaging techniques that can capture not only morphological, but also functional and molecular information for omics analysis, namely transcriptomics, proteomics and metabolomics. This remains a challenge for conventional analytical methods. Current imaging methods offer strengths but have also weaknesses according to their techniques. In this workshop we want to discuss approaches to progress in the non-destructive investigation of advanced 3D cell models with spatially resolved imaging technologies.

    TEDD is supporting this workshop organized by the NTN Innovation Booster Photonics to make new progress in non-destructive investigations of advanced 3D cell models with spatially resolved imaging technologies. The workshop includes state-of-the art input presentations and break-out discussions.

    ORGANIZATION

    • Jörg Güttinger, Managing Director, NTN IB-Photonics
    • Ulrich Stärker, Board Member Swissphotonics
    • Markus Rimann, Head of TEDD Competence Centre, ZHAW
    Countdown
    • 17

      Days
    • 11

      Hours
    • 09

      Minutes
    Location

    Technoparkstrasse 1, 8005 Zürich, Switzerland

    Get Directions
    Biotechnet groups
    3D Tissues and Biofabrication
    Biotechnet scientists
    Markus Rimann
    Kasia Kopanska
    Categories
    • Cell and Tissue Engineering
    • Analytics
    Tags
    • Cell Culture
    • Spectroscopy

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