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Updated: Feb 24, 2026

Preparation and Observation of Thick Biological Samples by Scanning Transmission Electron Tomography
Published on: March 12, 2017
Deep Volumetric Super-Resolution Imaging in Thick Biological Specimens With Sparse Scanning SIM
Sha An1,2,3, Xuhong Guo1,2,3, Zhongxia Cai1,2,3
1School of Physics, Xidian University, Xi'an, China.
Sparse scanning SIM (SS-SIM) enables deep, super-resolution imaging in thick biological samples. This advanced microscopy technique overcomes scattering limitations for clearer, volumetric visualization of dense tissues and organisms.
Area of Science:
- Biophotonics and advanced microscopy techniques.
- Development of novel imaging modalities for biological research.
Background:
- High-resolution fluorescence microscopy faces challenges in deep, thick specimens due to light scattering and limited penetration.
- Structured illumination microscopy (SIM) offers super-resolution but is sensitive to scattering, hindering volumetric imaging.
- Existing methods struggle with deep imaging in complex biological environments.
Purpose of the Study:
- To develop a super-resolution microscopy technique for deep imaging in thick, live specimens.
- To overcome the limitations of conventional SIM in scattering-prone biological samples.
- To enable high-contrast, volumetric visualization of dense biological structures.
Main Methods:
- Introduction of sparse scanning SIM (SS-SIM), integrating rapid laser scanning with pixel-addressed intensity modulation and sCMOS detection.
- Utilization of either one- or two-photon excitation for versatile deep imaging applications.
- Implementation with water-immersion objectives to achieve imaging depths up to 300/600 µm.
Main Results:
- SS-SIM achieved a spatial resolution of approximately 150 nm.
- Maintained a 1.6/1.7-fold (lateral/axial) resolution enhancement over wide-field microscopy within the imaging depth.
- Successfully enabled volumetric visualization of dense biological samples, including thick tissues, organoids, and small organisms.
Conclusions:
- SS-SIM provides a robust and simple method for deep super-resolution imaging.
- This technique significantly expands the applicability of SIM to challenging biological samples.
- SS-SIM offers a practical solution for high-contrast volumetric imaging in complex biological environments.
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