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Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach
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Lymphomas in 3D and 4D spaces.

Martin-Leo Hansmann1, Sonja Scharf2, Patrick Wurzel3

  • 1Frankfurt Institute for Advanced Studies, Ruth-Moufang-Str. 1, 60438 Frankfurt am Main, Germany; Institute of General Pharmacology and Toxicology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, D-60590 Frankfurt a. Main, Germany.

Human Pathology
|November 27, 2024
PubMed
Summary
This summary is machine-generated.

Three-dimensional (3D) and four-dimensional (4D) imaging reveals dynamic lymph node networks, offering new insights into immune responses and lymphomas. These advanced techniques provide data beyond 2D views, aiding diagnostics and therapeutic development in hematopathology.

Keywords:
3D4DDynamic networkLymph nodeLymphomasMachine learning

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Area of Science:

  • Immunology
  • Hematopathology
  • Cell Biology

Background:

  • Lymph nodes possess dynamic cellular networks crucial for immune responses.
  • Compartmentalization into T and B zones is vital for lymph node function.
  • Traditional 2D analysis limits understanding of complex 3D microarchitecture.

Purpose of the Study:

  • To review findings from 3D and 4D investigations of human lymph nodes.
  • To compare human lymph node data with findings from mouse models.
  • To highlight the advantages of 3D/4D imaging over 2D methods in studying immune responses and lymphomas.

Main Methods:

  • Utilizing three-dimensional (3D) and four-dimensional (4D) imaging techniques.
  • Analyzing human lymph node tissue, with comparisons to mouse models.
  • Employing advanced data evaluation, statistics, and machine learning.

Main Results:

  • 3D/4D imaging reveals distinct cell movement patterns: T cells are fastest, followed by B cells, then reticulum cells (e.g., FDCs) and macrophages.
  • T cell speed varies in different lymphomas (e.g., fast in Hodgkin lymphomas).
  • Intercellular contact times differ across lymphoma types, potentially aiding classification.

Conclusions:

  • 3D and 4D investigations offer significant advantages over 2D methods for studying lymph node biology.
  • These advanced imaging techniques provide novel insights into immune cell dynamics in health and disease.
  • Preliminary data suggest 3D/4D approaches can enhance diagnostics, understanding of biology, and clinical applications in hematopathology, including lymphoma classification and therapeutic testing.