16  Scanner Performance Deep-Dive

16.1 Introduction

This page analyzes the performance of our scanners: GT450 (x2) and AT2 (x2).

Benchmarks (Leica GT450): - Theoretical Speed: < 32 seconds per slide (15mm x 15mm @ 40x). - Target Throughput: 81 slides/hour. - Real-World Reality: Throughput often 30-40 slides/hour due to loading, focus, and network transfer. - Staffing: Industry standard is 1 FTE per 3-4 high-throughput scanners.

We evaluate: 1. Throughput: Slides scanned per hour. 2. Utilization: Active scanning time vs. idle time. 3. Reliability: Frequency of errors or rescans (Target Error Rate: < 1.5%). - Load Balancing: Optimize slide distribution across scanners - ROI Analysis: Calculate cost-effectiveness of each scanner - Capacity Planning: Determine when additional scanners are needed

16.2 Load Data and Run Analysis

16.2.1 IT Infrastructure Impact

The “pipeline” speed is often limited by network bandwidth: - 1 GbE Network: ~15 seconds transfer per slide. - 10 GbE Network: ~1.5 seconds transfer per slide.

Pathologist Note: Fast scanners on a slow network will still result in delayed images. The “bottle” (scanner) might be wide, but the “neck” (network) can be narrow.

16.3 Single Scanner Performance

This plot shows the number of slides processed by each scanner per day.

Pathologist Note: Look for consistency. A “sawtooth” pattern (high peaks, deep valleys) often indicates batching behavior or reliability issues, whereas a flat line indicates smooth, optimized production.

16.4 Scanner Performance Metrics

Comprehensive Scanner Performance Metrics
Scanner Total Slides Avg Daily Slides Time/Slide (hrs) Utilization (%) Efficiency Score
SISLI_GT450 81946 5.0 0.009 Inf 8885711
SISLI_GT450_2 66804 9.0 0.011 Inf 6004854
SISLI_CS2 2066 NA NA NA NA
SISLI_AT2 1543 NA NA NA NA
SISLI_AT2_2 1098 NA NA NA NA
SISLI_GT450_3 387 22.5 0.005 200 36519
SISLI_DEMO 139 NA NA NA NA
BAH_ARG 88 NA NA NA NA
SPIS_HM1 62 NA NA NA NA
BAH_ARG2 19 NA NA NA NA
SECTRA-PATO 3 NA NA NA NA

16.5 Total Throughput

16.6 Scanner Efficiency

Lower time per slide indicates better efficiency.

16.7 Utilization Rate

Target: >80% utilization. Low utilization may indicate: - Frequent downtime - Underutilization (need better load balancing) - Recent installation

16.9 Model Comparison: AT2 vs GT450

AT2 vs GT450 Performance Comparison
Model Cases Slides Median Scan (hrs) Time/Slide (hrs) IQR Cases <24h % <24h
Leica AT2 352 2641 NA NA NA 199 56.534
Leica GT450 24452 149137 0.046 0.007 0.124 22391 91.571

16.10 Reliability Analysis

Interpretation: - Top-right quadrant: High utilization + high throughput = best performers - Bottom-right: High utilization but low throughput = potential issues - Top-left: Low utilization but high throughput when active = underused asset

16.11 Load Balance Analysis

Ideal: All scanners within ±20% of mean workload. Significant deviations indicate: - Underutilized scanners (opportunity for better distribution) - Overutilized scanners (risk of wear and maintenance issues)

16.12 Downtime Analysis

Scanner Downtime Analysis (Gaps >4 hours)
Scanner Downtime Events Total Downtime (hrs) Avg Per Event (hrs) Max Downtime (hrs)
SS7834 143 2051.2 14.3 95.4
SS7833 138 1953.4 14.2 95.2
SS45328 56 962.1 17.2 50.0
SS45134 48 850.7 17.7 41.2

16.13 Rescan Rates by Scanner

Quality Metrics: Rescan Rates by Scanner
Scanner Total Slides Rescanned Rescan Rate (%)
SISLI_DEMO 19 72 378.95
SISLI_TECHNOMIND 8 22 275.00
SISLI_AT2_3 2344 3784 161.43
SISLI_ARG 28 34 121.43
BAH_ARG 26 31 119.23
BAH_ARG2 70 69 98.57
SISLI_HMMS 703 597 84.92
SISLI_MAG 353 236 66.86
SISLI 776 512 65.98
SPIS_HM1 67 32 47.76
SISLI_MOTIC 210 90 42.86
SISLI_AT2_2 78836 28697 36.40
SISLI_AT2 115202 29847 25.91
SISLI_GT450 214337 45904 21.42
SISLI_GT450_2 191522 39698 20.73
ANTALYA 234 41 17.52
SECTRA-PATO 10216 1282 12.55
SISLI_GT450_3 2542 122 4.80
SISLI_CS2 810 17 2.10
YSF1 1 0 0.00

16.14 Recommendations

16.14.1 For High-Performing Scanners

  • Document best practices
  • Use as reference for others
  • Maximize utilization with priority cases

16.14.2 For Underperforming Scanners

  • Schedule maintenance/calibration
  • Investigate operator differences
  • Consider replacement if chronic issues

16.14.3 Load Balancing Strategies

  • Implement automatic load distribution
  • Priority routing to most efficient scanners
  • Balance to prevent overutilization

16.15 Optimization Strategy

To maximize fleet efficiency:

  1. Load Balancing:
    • GT450: High-volume routine work.
    • AT2: Specialized/overflow work.
  2. QC Efficiency: Automated quality checks on modern scanners (GT450) can potentially reduce QC technician time by up to 94%.
  3. Predictive Maintenance: Monitor scans-per-error ratio to schedule service before failure.

16.16 Conclusion

Scanner performance analysis reveals opportunities for optimization and investment decisions.