Data-deposition protocols for correlative soft X-ray tomography and super-resolution structured illumination...

Area of Science:

• Structural Biology
• Microscopy
• Data Science

Background:

• Correlative 3D cryo-imaging combines multiple microscopy techniques.
• Standardized data deposition is crucial for data accessibility and validation.
• Existing methods for depositing correlative cryo-imaging data are insufficient.

Purpose of the Study:

• To provide a robust protocol for depositing correlated 3D cryo-imaging data.
• To ensure unhindered access to and independent validation of correlative light and X-ray microscopy data.
• To facilitate further comparative studies, educational activities, and data mining.

Main Methods:

• Utilizing cryo-structured illumination microscopy (cryo-SIM) and cryo-soft X-ray tomography (cryo-SXT).
• Depositing data into the BioStudies and EMPIAR databases of the European Bioinformatics Institute.
• Following a detailed protocol for data preparation and submission.

Main Results:

• A clear, step-by-step protocol for data deposition is established.
• The protocol enables the archiving of correlated 3D cryo-imaging datasets.
• Ensures data is accessible for validation and reuse.

Conclusions:

• The developed protocol addresses the need for robust data deposition in correlative cryo-imaging.
• Facilitates data sharing and reuse in structural biology and microscopy research.
• Supports the integrity and reproducibility of scientific findings.