Virtual nanoscopy: generation of ultra-large high resolution electron microscopy maps

Area of Science:

• Cell Biology
• Microscopy Techniques
• Biophysics

Background:

• Understanding molecular and cellular events requires bridging vastly different length scales.
• Current microscopy methods face limitations in mapping large areas at high resolution.

Purpose of the Study:

• To develop and present a methodology for ultrastructural mapping of large cellular and tissue regions at nanometer resolution.
• To facilitate correlative light-electron microscopy (CLEM) studies by providing high-resolution ultrastructural context.

Main Methods:

• Utilized standard transmission electron microscopy (TEM) combined with rapid automated data collection.
• Employed image stitching algorithms to create large, high-resolution virtual slides.
• Developed a scalable approach capable of generating gigapixel-sized datasets.

Main Results:

• Successfully mapped tissue regions up to 1 mm² at nanometer resolution.
• Demonstrated the method's scalability with slides reaching 281 gigapixels.
• Applied the technique to diverse biological systems, including glomerular filtration, viral internalization, embryonic cells, and whole embryo mapping.

Conclusions:

• The described methodology provides a genuine representation of ultrastructural events across large areas.
• This approach significantly enhances correlative light-electron microscopy studies, linking structure and function.
• The virtual nanoscopy technique offers a scalable solution for high-resolution ultrastructural mapping in biological research.