Live Event
Human Dendritic Spine Analysis and Neurological Disorders
February 24, 2026 04:00 PM (London)
Dr. Henner Koch
Henner’s research focuses on the complexity and state dependency of neural networks. More recently, his work has expanded to the study of the cellular and molecular mechanisms underlying epileptogenesis in genetic epilepsies, using both mouse models and human tissue samples. In addition to his research, he serves as a professional mentor in biomedical science research. Henner has also previously worked clinically as a resident in the neurology department of the University Hospital in Tübingen.
CloseDr. Delisa Garcia
Delisa is a software business developer at ZEISS, supporting researchers in accelerating microscopy image analysis through AI-driven and digital workflows. With a background in biophysics and postdoctoral research at Imperial College London, she brings nearly 20 years of experience in imaging technologies and analysis, helping bridge science and innovation.
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Learn how quantitative 3D imaging and analysis workflows unlock insights into neurological and psychiatric diseases.
In this webinar, you will learn how:
Dendritic abnormalities affect synaptic connectivity, an understanding vital for addressing neurological disorders
High-resolution morphological studies provide a framework for researching mechanisms underlying neurological and psychiatric diseases
To set up cutting-edge imaging and reconstruction workflows with arivis for quantitative 3D analysis
Understanding how cellular morphology relates to function remains a fundamental challenge in neuroscience and cell biology. Even subtle structural changes—such as those occurring in dendritic spines—can profoundly influence connectivity, signaling, and tissue-level organization, underscoring the need for robust quantitative analysis.
Recent advances in high-resolution imaging and AI-driven analytical tools are transforming our ability to study the human brain at cellular and subcellular scales. These innovations enable researchers to decode complex neural structures far more efficiently than traditional manual approaches.
In this webinar, we will discuss how ZEISS arivis Pro and cloud-based AI workflows are revolutionizing neuron morphology research by providing fast, reproducible, and scalable 3D reconstruction pipelines capable of handling heterogeneous, real-world data.
Such technologies are especially impactful in neuroscience, where understanding structural diversity across individuals, cell types, and physiological states is key to uncovering mechanisms of learning, plasticity, and disease.
Alterations in dendritic structure—and in the density and shape of dendritic spines—have been linked to numerous neurological disorders, including epilepsy, Alzheimer’s disease, and schizophrenia. Because dendritic spines serve as the primary sites of excitatory synaptic transmission, disruptions in their structure or density can impair synaptic connectivity and contribute to pathological changes.
This webinar will highlight how quantitative 3D analysis of human dendritic spines using arivis software yields critical insight into human-specific synaptic morphology in both physiological and pathological contexts.
Drawing on data from neurosurgically resected human tissue, we will demonstrate how advanced imaging and reconstruction workflows enabled the characterization of nearly 4,000 spines, revealing biologically meaningful patterns across sexes, dendritic compartments, and culture conditions.
Attendees will gain an understanding of how such high-resolution morphological studies deepen our view of cortical circuitry and provide a powerful framework for investigating mechanisms underlying neurological and psychiatric diseases.
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