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Updated: Sep 19, 2025

Visualizing Single Molecular Complexes In Vivo Using Advanced Fluorescence Microscopy
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Decoding tissue complexity: multiscale mapping of chemistry-structure-function relationships through advanced

Zhiyuan Zhao1, Haijun Cui1, Haitao Cui1

  • 1Key Laboratory of Biorheological Science and Technology (Chongqing), Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China. haijuncui@cqu.edu.cn.

Journal of Materials Chemistry. B
|June 6, 2025
PubMed
Summary
This summary is machine-generated.

Biological visualization technologies decode complex tissue information, integrating AI and advanced imaging for biomaterials development. These tools enhance understanding of biological systems and accelerate breakthroughs in precision medicine and tissue engineering.

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Computational Biology

Background:

  • Biological tissues possess intricate multiscale complexity, serving as blueprints for synthetic biomaterials.
  • Understanding tissue structure and function is crucial for advancing biological systems knowledge, disease mechanism elucidation, and clinical strategies.

Purpose of the Study:

  • To review state-of-the-art biological visualization technologies.
  • To emphasize advancements in AI-driven image analysis, multidimensional imaging, and multimodal data integration.
  • To explore the future of biological visualization in deciphering tissue complexity and biomaterials development.

Main Methods:

  • Systematic review of current biological visualization technologies.
  • Analysis of AI, augmented reality, and deep learning integration in imaging.
  • Exploration of multidimensional imaging and reconstruction techniques.
  • Examination of multimodal data integration strategies.

Main Results:

  • Biological visualization technologies bridge macroscopic and molecular insights.
  • AI, augmented reality, and deep learning enable real-time, high-resolution, and predictive analyses.
  • Multidimensional imaging and multimodal data integration enhance the decoding of tissue complexity.

Conclusions:

  • Biological visualization is evolving towards intelligence, multidimensionality, and multiscale precision.
  • These advancements provide theoretical and methodological support for biomaterials development.
  • The field promises to accelerate breakthroughs in precision medicine, tissue engineering, and therapeutic development.