Related Experiment Video
Updated: Jun 5, 2026

09:44
Light-sheet Microscopy for Three-dimensional Visualization of Human Immune Cells
Published on: June 13, 2018
Volumetric Cyclic Immunofluorescence for 3D Spatial Profiling of Immune Structures in Human FFPE Tissue
Alex Y H Wong1,2, Yi Daniel Lu1,2, Ziyuan Zhao1,2,3
1Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA.
Biorxiv : the Preprint Server for Biology
|June 4, 2026
Summary
We developed volumetric cyclic immunofluorescence (v-CyCIF) to image 3D tissue structures in human samples. This method enables detailed study of immune cells and nerves, overcoming limitations of traditional 2D tissue analysis.
Area of Science:
- Immunology
- Neuroscience
- Biomedical Imaging
Background:
- Tissue-resident immune systems form complex 3D structures interacting with vasculature and nerves.
- Conventional 2D profiling struggles to analyze these interactions across multiple tissue sections.
- Volumetric imaging (LSFM) is established in animal models but limited in human FFPE tissues.
Purpose of the Study:
- To develop a method for multiplexed 3D imaging of immune cells and nerves in human specimens.
- To overcome limitations of analyzing complex neuroimmune interactions in formalin-fixed paraffin-embedded (FFPE) tissues.
- To enable multi-scale 3D profiling of clinical samples.
Main Methods:
- Development of a volumetric cyclic immunofluorescence (v-CyCIF) toolbox.
- Integration with a virtual Hematoxylin and Eosin (H&E) staining approach.
- Application to human specimens up to 1 mm thick, including re-embedding for high-resolution analysis.
Main Results:
- Successfully imaged neuroimmune interactions in normal and cancerous human tissues.
- Enabled immunoprofiling of intact secondary and tertiary lymphoid structures in 3D.
- Allowed high-plex, high-resolution analysis of subcellular structures and cell-cell interactions post-volumetric imaging.
Conclusions:
- v-CyCIF provides a flexible framework for multi-scale 3D profiling of clinical specimens.
- This approach overcomes key barriers to multiplexed imaging in human tissues.
- Enables advanced study of tissue architecture and cellular interactions in health and disease.
