Integrating cellular electron microscopy with multimodal data to explore biology across space and time

Area of Science:

• Structural Biology
• Cell Biology
• Biophysics

Background:

• Biological systems exist across vast length and time scales.
• Individual experimental techniques offer limited views of this spectrum.
• Integrating diverse data is crucial for a holistic understanding.

Purpose of the Study:

• To review advancements in volume electron microscopy (vEM) and cryo-electron tomography (cryo-ET).
• To discuss integrating 3D electron microscopy (3DEM) with multimodal data.
• To provide a comprehensive view of biological complexity across scales.

Main Methods:

• Detailed review of volume electron microscopy (vEM) and cryo-electron tomography (cryo-ET) techniques.
• Exploration of integrating 3DEM imaging with fluorescence microscopy, mass spectrometry, and single-particle analysis.
• Discussion of AI-based structure prediction for enhanced data interpretation.

Main Results:

• vEM and cryo-ET enable visualization from tissue-level organization to molecular details within native cellular environments.
• Multimodal data integration fills gaps in understanding spatial organization, molecular identity, and native interactions.
• This integrated approach bridges discrete observations into a more complete biological picture.

Conclusions:

• Combining advanced EM techniques with multimodal data offers unprecedented insights into biological complexity.
• Future directions include integrating diverse data into computational simulations to extend length scales and incorporate time.
• This multifaceted strategy is key to building a holistic understanding of biological systems.