Ensuring data quality involves several best practices:
Standardization: Use standardized protocols for tissue processing, staining, and imaging to minimize variability. Calibration: Regularly calibrate imaging equipment to maintain accuracy and consistency in image capture. Validation: Validate data through repeat experiments and cross-verification with other data sources. Documentation: Maintain comprehensive records of experimental conditions, reagents used, and any anomalies encountered.
