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  • USP 789 Particulate Matter (Ophthalmic Solutions) – Deep Statistical Analyzer - English Tutor

USP 789 Particulate Matter (Ophthalmic Solutions) – Deep Statistical Analyzer - English Tutor

01/03/2026
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USP 789 Particulate Matter (Ophthalmic Solutions) – Deep Statistical Analyzer

USP 789 Particulate Matter (Ophthalmic Solutions) – Deep Statistical Analyzer

USP 789 Particulate Matter (Ophthalmic Solutions) – Deep Statistical Analyzer

USP 789 Particulate Matter (Ophthalmic Solutions) – Deep Statistical Analyzer



USP <789> Particulate Matter (Ophthalmic Solutions) – Deep Statistical Analyzer

A Deep Statistical Analysis Tool for Particulate Matter Data in Ophthalmic Solutions (PharmApp)

In pharmaceutical quality control—especially for ophthalmic solutions—monitoring and analyzing subvisible particulate matter in alignment with USP <789> is essential. However, when the number of PDF reports grows across batches, products, and instrument runs, manual review becomes time-consuming, error-prone, and inefficient for identifying trends.

That is why USP <789> Particulate Matter (Ophthalmic Solutions) – Deep Statistical Analyzer was developed as part of the PharmApp ecosystem.

This application helps users:

  • Extract and normalize data from PDF reports

  • Convert results into CSV/Excel

  • Perform deep statistical analysis

  • Compare results by file / drug / lot

  • Visualize trends with charts

  • Track PASS/FAIL behavior over time

🎯 What is this app for?

This tool supports teams in:

  • QC / QA

  • R&D

  • Validation / Stability

  • Manufacturing data review for ophthalmic products

It enables a faster, more structured, and more visual way to analyze particulate matter data.

Instead of reviewing reports one by one, users can quickly see the bigger picture:

  • PASS / FAIL rates

  • Particle count distributions at key thresholds (10 µm, 25 µm, 50 µm)

  • Time-based trends and variability

  • Comparisons across drug groups, lots, and individual files

  • Limit utilization to identify early risk before specification failure

✨ Key Features

1) Extract PDF to CSV/Excel

  • Extracts data from PDF reports into structured formats

  • Reduces manual transcription effort

  • Supports downstream analysis without manual data entry

  • Can auto-parse reports if combined CSV files are missing

2) Overall Statistics + Charts

  • Aggregates data from the selected data folder

  • Displays key indicators such as:

    • Reports

    • Failed reports

    • Pass rate

    • Drug count

    • Lot count

  • Includes visual charts:

    • Pass/Fail distribution

    • Histogram

    • Over time trend

    • Run distribution (boxplot)

    • Mean limit utilization (%)

3) Compare Files + Charts

  • Compares individual report files

  • Displays:

    • Group mean

    • Boxplot

    • Trend over time

    • Detailed data table

  • Useful for reviewing anomalies at the report level

4) Compare Drugs + Charts

  • Groups data by drug_group_name

  • Compares products using charts and detailed tables

  • Helps identify product-level quality patterns

5) Compare Lots + Charts

  • Compares data by lot_group_name

  • Supports lot-to-lot analysis and trend monitoring

  • Useful for deviation investigation and process consistency review

6) Flexible Analysis Controls

  • Select the metric to analyze (e.g., average cumulative counts at 10 µm / 25 µm / 50 µm)

  • Filter by status

  • Show/hide USP threshold line

  • Exclude discarded runs

  • Choose chart palettes for different presentation styles

📊 Practical Value for Quality and Data Review

This app is not only for viewing data—it helps teams make decisions faster by enabling:

  • Early detection of lots trending toward higher particulate counts

  • Cross-product comparison within the same manufacturing or QC system

  • Faster preparation for internal review, CAPA discussions, and periodic trending

  • Reduced time spent consolidating multiple PDF reports

  • More consistent and reproducible data analysis workflows

🖥️ Desktop Interface Designed for Daily Use

The application is built as a practical desktop analyzer with a clear layout:

  • Fast data folder selection (Browse / Apply / Refresh)

  • Batch folder management (single-select / multi-select)

  • Large chart area for visual comparison

  • Detailed data table below charts for verification

  • Log panel for tracking data loading and analysis status

This makes it suitable for day-to-day use in internal QC/QA/R&D environments.

🎥 Video Demo

You can embed the demo video in your website post so readers can quickly understand the workflow:

YouTube demo: https://youtu.be/xMIRb8_vIC4

Suggested placement: embed the video near the top or at the end of the article to improve engagement and help users understand the app faster.

🚀 Conclusion

USP <789> Particulate Matter (Ophthalmic Solutions) – Deep Statistical Analyzer is a practical and high-value tool for digitizing and upgrading particulate matter data analysis workflows for ophthalmic solutions.

It transforms scattered PDF reports into meaningful statistics, clear visualizations, and actionable insights—helping pharmaceutical teams improve speed, consistency, and visibility in quality data review.

Ecosystem Information