Digital Image Analysis and Quantitative Bead Standards in Root Cause Analysis of Immunohistochemical Staining...

Area of Science:

• Pathology
• Biotechnology
• Medical Diagnostics

Background:

• Automated immunohistochemical staining platform performance assessment relies heavily on subjective visual slide evaluation.
• Quantitative assessment of stain intensity is not routinely performed, limiting objective quality control.

Purpose of the Study:

• To describe the application of two quantitative strategies for root cause analysis of suboptimal staining.
• To demonstrate the utility of these quantitative tools in validating new automated staining instruments.

Main Methods:

• Quantitative assessment of whole slide images (WSI).
• Utilized commercially available quantitative calibrators.
• Applied these methods over a 13-month period for root cause investigations and instrument validation.

Main Results:

• Identified and corrected two sources of suboptimal staining: insufficient/variable electrical power and an underperforming instrument.
• Uninterruptible power managers resolved power delivery issues, restoring stain intensity and consistency.
• WSI analysis and quantitative calibrators confirmed instrument malfunction, leading to its replacement and successful revalidation.

Conclusions:

• Quantitative assessment tools (WSI, calibrators) offer objective evaluation of automated immunohistochemical staining.
• These methods are crucial for identifying and rectifying factors affecting staining quality, such as power supply and instrument performance.
• Implementing quantitative strategies enhances the reliability and consistency of immunohistochemical staining for diagnostic applications.