[Multi-modal cross-scale imaging technologies and their applications in plant network analysis]

Area of Science:

• Plant biology
• Systems biology
• Bioimaging

Background:

• Plant life involves complex, interconnected networks across molecular, cellular, tissue, and organ levels.
• Studying these multi-level biological networks is challenging with single methods.
• Novel imaging technologies offer new avenues for investigating plant complexity.

Purpose of the Study:

• To review multi-modal cross-scale imaging technologies for plant research.
• To outline a framework for analyzing cross-scale network properties in plants.
• To explore the application of these technologies in understanding plant biological functions.

Main Methods:

• Summary of multi-modal cross-scale imaging techniques.
• Discussion of 3D reconstruction and image processing methods.
• Integration of cross-scale structural data with single-cell omics.

Main Results:

• Multi-modal imaging enables visualization of plant networks across scales.
• Established a framework for analyzing cross-scale network properties.
• Demonstrated applications in elucidating plant multi-scale networks.

Conclusions:

• Multi-modal imaging is crucial for understanding plant biological complexity.
• Combined analysis of structural data and omics provides a new research paradigm.
• This review lays a foundation for innovative plant imaging technologies.