Pathview

AI CBC Analyzer Validation

White Blood Cell Count Validation Study

Complete blood count performance in veterinary diagnostics

Validation study comparing automated WBC counts from the Moichor Pathview AI system against manual counts by veterinary pathologists.

r² = 0.9996

The AI counts white blood cells with almost perfect accuracy to experienced veterinary pathologists. Exceptional agreement between automated and expert human analysis across all 93 samples. Results are as reliable as those from a board-certified pathologist.



Samples

93 monolayer blood smears from veterinary patients were analyzed with both AI and manual pathologist review.

Board-certified veterinary pathologists manually counted WBCs using standardized microscopic protocols.

Reference Standard

AI Analysis

The Pathview system automatically identified and counted WBCs using trained deep learning algorithms.

Statistical Analysis

Pearson correlation analysis to determine the coefficient of determination (r²).

Exceptional correlation achieved.

93 samples analyzed • AI vs Pathologist Comparison

What these results mean.

The AI counts white blood cells with identical accuracy to experienced veterinary pathologists

Exceptional agreement between automated and expert human analysis across all 93 samples

Eliminates counting errors and reduces analysis time while maintaining gold-standard quality.


Provides consistent, reproducible results for enhanced diagnostic confidence.


AI-powered Cell Identification Validation

Pathview's AI-powered cell identification was validated against clinical pathologist review as the ground truth standard. The system demonstrated strong agreement across all white blood cell populations.

Cell Line Accuracy

90%

Neutrophils

90%

Lymphocytes

90%

Monocytes

Species Validated

97%

Band Neutrophils

100%

Basophils

87%

Eosinophils

Results

92

Total Samples Analyzed

92.4%

Mean Accuracy Achieved

Canine/Feline

What these results mean.



Pathview delivers accuracy across all major white blood cell populations with mean performance of 92.4%

Demonstrates exceptional band cell identification capabilities critical for comprehensive CBC analysis.

High band neutrophil accuracy supports reliable left shift assessment.


Consistent cross-species performance validates use in both canine and feline clinical settings.


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