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Variable Threshold Method for Determining the Boundaries of Imaged Subvisible Particles.

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  • 1Bioprocess Measurements Group, National Institute of Standards and Technology, Gaithersburg, Maryland 20899.

Journal of Pharmaceutical Sciences
|February 18, 2017
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Summary
This summary is machine-generated.

A new algorithm improves particle detection in flow imaging by using maximum gray values to set thresholds. This enhances particle boundary accuracy for pharmaceutical analysis, especially for translucent particles.

Keywords:
flow imagingimage analysismicroscopyparticle sizingphysical characterizationprotein aggregates

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Area of Science:

  • Pharmaceutical analysis
  • Image processing
  • Particle characterization

Background:

  • Accurate particle sizing and morphological analysis are crucial for pharmaceutical product assessment using flow imaging.
  • Traditional single-threshold methods struggle with particle boundary detection, leading to inaccuracies with translucent or less transparent particles due to intensity gradients and halos.

Purpose of the Study:

  • To develop and validate an improved imaging analysis algorithm for more accurate particle boundary detection in flow imaging.
  • To address limitations of single-threshold methods in pharmaceutical particle characterization.

Main Methods:

  • Developed an algorithm that sets particle thresholds based on the maximum gray value within the particle.
  • Implemented the algorithm as a plugin for FIJI, an open-source image analysis software.
  • Tested the algorithm using calibration beads, microfabricated rods, and IgG aggregates in various solutions.

Main Results:

  • The algorithm establishes tighter boundaries for high-contrast particles while preserving the detection of highly translucent particles.
  • Appropriate thresholds were automatically determined for diverse particle properties across different solutions.
  • Demonstrated improved boundary accuracy for more precise particle sizing and classification.

Conclusions:

  • The novel maximum gray value thresholding algorithm enhances the accuracy of particle boundary detection in flow imaging.
  • This method offers a more robust solution for pharmaceutical particle analysis, improving sizing and classification capabilities.
  • The FIJI plugin provides an accessible tool for researchers seeking improved particle characterization in pharmaceutical applications.