3D Single-Molecule Super-Resolution Imaging of Microfabricated Multiscale Fractal Substrates for Calibration and Cell...

Area of Science:

• Biophysics and Materials Science
• Cell Biology and Imaging

Background:

• Advanced 3D cellular models are crucial for understanding cell behavior, but high-resolution 3D imaging on microstructured substrates is challenging.
• Existing methods face limitations in resolving cellular responses to physical cues due to complexity and axial calibration issues in 3D imaging.

Purpose of the Study:

• To develop and validate 3D microstructured substrates for high-resolution 3D imaging and cell biology studies.
• To utilize fractal-like structures for axial calibration in 3D super-resolution microscopy.
• To investigate the impact of physical cues on cell growth and phenotype using advanced imaging techniques.

Main Methods:

• Fabrication of multiscale 3D silicon dioxide (SiO2) substrates with fractal-like octahedral features.
• Optimization of substrate geometry and optical imaging conditions for high-resolution imaging.
• Lateral and axial calibration in 3D single-molecule localization microscopy (SMLM) using the known geometry of the substrates.
• Cultivation of human mesenchymal stem cells on the 3D substrates for bioimaging experiments.

Main Results:

• Demonstrated the utility of 3D multiscale structures as calibration tools for 3D super-resolution microscopy, comparable to electron microscopy for material imaging.
• Successfully performed lateral and axial calibrations in 3D SMLM, assessing imaging resolutions.
• Observed significantly different cell growth patterns and cytoskeleton protein distribution in human mesenchymal stem cells cultured on 3D substrates compared to flat surfaces.

Conclusions:

• 3D multiscale microstructured substrates serve as effective calibration tools for 3D super-resolution microscopy.
• These substrates provide a novel platform for high-resolution bioimaging, revealing distinct cellular responses to microstructural topography.
• The study highlights the potential of physical cues in modulating cell phenotype and offers a new approach for advanced cell culture and imaging.