MAY 28, 2020 9:00 AM PDT

Finding the needle in the haystack - identifying tumor burden in sentinel lymph nodes by advanced 3D imaging

Sponsored by: Miltenyi Biotec
C.E. Credits: P.A.C.E. CE Florida CE
  • Director of the Institute for Experimental Immunology and Imaging and the Imaging Center Essen (IMCES), University Hospital, University Duisburg-Essen, Germany
      Within 20+ years of research, Prof. Matthias Gunzer is constantly pushing the boundaries in immunology being author of more than 130 scientific papers. Since 2011, he is director of the Institute of Experimental Immunology and Imaging and founding director of the Imaging Centre Essen (IMCES) at the University Hospital Essen, Germany. Additionally, in 2019 Prof. Matthias Gunzer became head of the department "Biospectroscopy" at the Leibniz Institute for Analytical Sciences (ISAS) in Dortmund, Germany. His research focuses on the characterization of the dynamics of immune cell behavior, their motility and migratory pattern as well as the formation of cell-cell interactions within the course of immune responses in vivo. Using a wide range of advanced imaging technologies in combination with innovative experimental systems, he investigates how immune cells behave under physiological and pathological conditions in organs such as the lymph node, the bone marrow, the brain and the lung.
    • Senior Product Manager at Miltenyi Biotec
        Dr. Uwe Schröer is Senior Product Manager for Light Sheet Microscopy at Miltenyi Biotec located in Germany. He obtained his Ph.D. from the Westfälische Wilhelms-Universität Münster where he characterized the regeneration of retinal ganglion cells. For his Diploma he was working at the "Rheinisch-Westfälischen Technischen Hochschule" Aachen in the field of molecular microbiology.


      DATE: May 28, 2020
      TIME: 9:00am PDT


      This webinar is not available for on-demand viewing.


      High-resolution imaging of sentinel lymph nodes (SLN) is gaining significance to specify staging and to determine patients requiring adjuvant treatment. Current histologic SLN analysis has the substantial drawback that only a small portion of the node is sampled, while most of the tissue is discarded, which might explain the high false-negative rate of SLN diagnosis. Therefore, we developed an algorithm-enhanced light sheet fluorescence microscopy (LSFM) approach to three-dimensionally reconstruct entire SLN with single-cell resolution. With this approach we can comprehensively quantify the total tumor volume while simultaneously visualizing cellular and anatomical hallmarks of the associated SLN architecture. In a first-in-human prospective study of melanoma patients LSFM not only identified all metastases seen histologically, but additionally detected metastases not recognized by routine histology. Thus, our 3D digital pathology approach can increase sensitivity and accuracy of SLN-metastasis detection and potentially alleviate the need for conventional histopathological assessment in the future.


      Learning Objectives:

      • Demonstrate 3D whole lymph node imaging with cellular resolution is possible.
      • Complete measurement of the 3D extent of metastases allows precise determination of tumor burden.
      • Validate the approach is able to detect metastatic sites that are overseen by classical 2D histology. 



      LabRoots is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E. ® Program. By attending this webinar, you can earn 1 Continuing Education credit once you have viewed the webinar in its entirety.

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