Py-EM

Py-EM enables automated, feedback-driven electron microscopy data acquisition by integrating specimen-specific image-analysis pipelines with SerialEM to support high-throughput transmission electron microscopy (TEM) for structural and cellular biology.

Key Features:

• Integration with SerialEM: Integrates with SerialEM to control microscopes and detectors during automated acquisition.
• Specimen-specific image-analysis pipelines: Executes specimen-specific image-analysis pipelines that inform acquisition decisions.
• Feedback-driven microscopy: Implements feedback-driven microscopy techniques to adjust acquisition parameters based on image analysis.
• Cryo-EM dose reduction: Supports dose reduction in cryo-electron microscopy by precise control of electron exposure during acquisition.
• Automated whole-section acquisition: Performs fully automated acquisition to capture every cell within a plastic section.
• Automated serial-section targeting: Enables automated targeting on serial sections for 3D volume imaging across multiple grids.
• High-throughput TEM schemes: Facilitates automated acquisition across various transmission electron microscopy (TEM) schemes.

Scientific Applications:

• High-throughput TEM data collection: Transmission electron microscopy (TEM) data collection for structural and cellular biology studies.
• Cryo-EM dose-sensitive experiments: Dose-reduction strategies in cryo-electron microscopy to preserve sample integrity while maintaining high-resolution imaging.
• Whole-section cellular imaging: Automated acquisition of every cell in plastic sections for comprehensive cellular ultrastructure surveys.
• Serial-section 3D volume imaging: Automated targeting of serial sections for 3D volume imaging across multiple grids.
• Feedback-driven adaptive acquisition: Adaptive acquisition workflows that use image analysis feedback to improve data quality and efficiency.

Methodology:

Integrates with SerialEM and executes specimen-specific image-analysis pipelines to implement feedback-driven microscopy and automated targeting for acquisition across sections and grids.