Intravital and high-content multiplex imaging of the immune system

Jyh Liang Hor1, Ronald N Germain1

  • 1Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-1892, USA.

Trends in Cell Biology
|December 18, 2021
PubMed

Insights

Multiphoton intravital microscopy (MP-IVM) reveals immune cell cooperation in situ. Combining MP-IVM with static imaging and data analysis offers new insights into immune cell dynamics, phenotyping, and transcriptional states.

Area of Science:

  • Immunology
  • Microscopy
  • Systems Biology

Background:

  • Immune cells exhibit complex cooperative behaviors crucial for effective immune responses.
  • Multiphoton intravital microscopy (MP-IVM) is a key technology for observing immune cell interactions in living tissues (in situ).

Purpose of the Study:

  • To review the current applications and limitations of MP-IVM in immunology.
  • To propose a novel correlative microscopy approach integrating MP-IVM with static imaging techniques.
  • To enable simultaneous visualization of immune cell dynamics, deep phenotyping, and transcriptional states.

Main Methods:

  • Review of existing literature on intravital microscopy.
  • Integration of insights from multiplex static tissue-imaging methods.
  • Development of a correlative microscopy approach combining dynamic and static imaging.
  • Application of advanced data analysis techniques.

Main Results:

  • MP-IVM significantly enhances understanding of in situ immune cell behavior.
  • Current MP-IVM techniques have fundamental limitations in comprehensive analysis.
  • Proposed correlative approach promises simultaneous multi-modal data acquisition.

Conclusions:

  • Correlative microscopy integrating MP-IVM with static imaging and data analysis represents a powerful future direction.
  • This integrated approach will provide unprecedented insights into immune cell function and regulation.
  • Advancements in imaging and data analysis are critical for dissecting complex immune processes.

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