Vizgen Events
Welcome to Vizgen’s Events Page where you can discover upcoming happenings within our innovative scientific community. Browse upcoming conferences, webinars, and workshops where you can engage with experts and explore the forefront of spatial biology.
Featured Events
May 9-10, 2024
American Spatial Biology Congress
San Diego, CA
Join Our Presentation
Day 2 track 1 – 09.55-10.25
Title: Improved spatially resolved single cell transcriptomic imaging in archival tissues with MERSCOPE® and MERSCOPE® Ultra.
Abstract:
In this presentation we will discuss an enhanced MERFISH chemistry and workflow to perform MERFISH across a broad range of sample qualities, and introduce the MERSCOPE Ultra Platform.
Day 2 track 1 – 09.55-10.25
Title: Improved spatially resolved single cell transcriptomic imaging in archival tissues with MERSCOPE® and MERSCOPE® Ultra.
Abstract:
In this presentation we will discuss an enhanced MERFISH chemistry and workflow to perform MERFISH across a broad range of sample qualities, and introduce the MERSCOPE Ultra Platform.
April 10, 2024
Linking spatial and temporal profiling to clinical settings through advanced machine learning
Webinar
ABSTRACT
Leveraging advancements in spatially resolved single-cell profiling, our study enhances understanding of glioma evolution and the complex tumor microenvironment. Through spatially resolved multi-omic analysis of glioma samples from different treatments and stages, we've mapped glioblastoma's architectural changes over time, highlighting mechanisms behind therapy resistance. Our use of array-based and in-situ transcriptomics across treatment types revealed key transcriptional programs related to resistance, showing significant inter-patient heterogeneity and unique resistance pathways in recurrent tumors. We identified adaptations in the neural and immune microenvironment shifts post-immunotherapy, indicating mechanisms of resistance development. By integrating spatial transcriptomics and clinical data into graph-neural networks, we've created models predicting treatment responses, offering new insights for precision oncology.
Leveraging advancements in spatially resolved single-cell profiling, our study enhances understanding of glioma evolution and the complex tumor microenvironment. Through spatially resolved multi-omic analysis of glioma samples from different treatments and stages, we've mapped glioblastoma's architectural changes over time, highlighting mechanisms behind therapy resistance. Our use of array-based and in-situ transcriptomics across treatment types revealed key transcriptional programs related to resistance, showing significant inter-patient heterogeneity and unique resistance pathways in recurrent tumors. We identified adaptations in the neural and immune microenvironment shifts post-immunotherapy, indicating mechanisms of resistance development. By integrating spatial transcriptomics and clinical data into graph-neural networks, we've created models predicting treatment responses, offering new insights for precision oncology.
Presenter:
Univ.-Prof. Dr. med. Dieter Henrik Heiland
Date:
Apr 10, 2024 - Apr 10, 2024
Event Type
Webinars
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