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Dr.in Sophie Schober

Wiss. Mitarbeiterin (PostDoc) Medical Science und Humanmedizin

Schober Sophie



    Improving biomedical research by automated behaviour monitoring in the animal home-cage (TEATIME)

    • Projektnummer: CA20135
    • Projektleitung: Project Partner, Helsinki Institute of Life Science (HiLIFE)
    • Projektpartner: Karl Landsteiner Privatuniversität für Gesundheitswissenschaften / Medizin
    • Projektlaufzeit: 48 Monate ab 18.10.2021


    Animal use for scientific purposes is guided by the principles of 3Rs (Reduction, Refinement and Replacement). Developing refined experimental conditions can substantially improve animal welfare and importantly, enhance the translational value and data reproducibility.

    Novel and emerging technologies allow 24/7 collection of behavioural data in undisturbed mice, the most widely used species in biomedical research. These recently developed technologies minimize the impact of stressors, such as human interaction and testing in novel arenas, which are known to influence data collection and animal welfare. It is now possible to assess a more naturalistic behavioural profile in familiar environment, such as the animals’ home-cage. In addition to promoting welfare, it can improve research in a wide spectrum of research fields ranging from psychology and neuroscience to translational psychiatry and neurology, and may further provide valuable insights into other types of pathologies and genetic alterations. However, addressing the complex problem of monitoring the full 24-hour behavioural repertoire of a rodent still presents many challenges, with each technology having its strengths and limitations.

    The aim of this Action is to bring together European organizations developing and using automated home-cage monitoring technologies, combining experts in mouse behaviour, laboratory animal science and data science, to critically and transparently assess the potential of these technologies, to develop user guidelines and standard operating procedures and to identify needs for further technological development, including analysis of big data.

    The Action will also contribute to building capacities for adoption of these technologies by holding workshops, laboratory rotations and disseminating knowledge.


  1. 28 Mär

    INFO TALK: Bewerbung Medizinstudium

    28. März 2023, 18:00
    Online Chatroom: Microsoft Teams
  2. 29 Mär

    KL Luchtime Seminar: CaMKII spreads activity by inter-holoenzyme phosphorylation

    29. März 2023, 12:00 - 13:00
    Karl Landsteiner Privatuniversität, Festsaal
  3. 11 Apr

    STUDENT TALK Psychologie

    11. April 2023, 18:00
    Instagram Channel - Live Q&A