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Disintegration testing augmented by computer Vision technology.

Sydney Floryanzia1, Preethi Ramesh2, Madeline Mills3

  • 1Merck & Co., Inc., 770 Sumneytown Pike, West Point, PA, USA; North Carolina State University, Raleigh, NC 27695, United States.

International Journal of Pharmaceutics
|March 19, 2022
PubMed
Summary
This summary is machine-generated.

Automated tablet disintegration testing using Computer Vision for Disintegration (CVD) offers a reliable, non-invasive method. This advanced system enhances data integrity and provides deeper insights into tablet disintegration mechanisms beyond simple duration.

Keywords:
DisintegrationDisintegration TestMachine LearningNeural NetworksOral Solid Dosage Forms

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Area of Science:

  • Pharmaceutical technology
  • Computer vision
  • Machine learning

Background:

  • Oral solid dosage forms, particularly immediate-release tablets, are crucial in pharmaceuticals.
  • Current United States Pharmacopeia (USP) disintegration testing is subjective and prone to human error.
  • Automated analysis is needed to improve data integrity and quantitative assessment.

Purpose of the Study:

  • To develop and validate a Computer Vision for Disintegration (CVD) system for automated tablet disintegration analysis.
  • To overcome challenges in visualizing tablet fragments in turbid liquids.
  • To provide a non-invasive, quantitative method for assessing tablet disintegration.

Main Methods:

  • Utilized digital imaging technology with cameras and lenses.
  • Developed software employing mobile SSD, CNN, OpenCV, and FRCNN machine learning models.
  • Integrated the CVD system with traditional pharmaceutical disintegration testing devices.

Main Results:

  • The CVD system achieved high accuracy (≥99.6%) in identifying tablet fragments.
  • The system provides reliable, quantitative data on tablet disintegration.
  • Enabled visualization and monitoring of tablet pieces in cloudy liquids.

Conclusions:

  • Computer Vision for Disintegration (CVD) offers a reliable and accurate automated solution for tablet disintegration testing.
  • This technology enhances data integrity and reduces human error compared to traditional methods.
  • CVD opens avenues for a more profound understanding of tablet disintegration rates and mechanisms.