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Image Analysis Algorithm-Based Platform for Determining Micron and Higher Aggregate Size Distribution of Therapeutic
Shravan Sreenivasan1, Deepak Sonawat1, Anurag S Rathore2
1Department of Chemical Engineering, DBT Center of Excellence for Biopharmaceutical Technology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Pharmaceutical Research
|October 19, 2021
Summary
A new image processing platform accurately measures the size distribution of therapeutic immunoglobulin G (IgG) aggregates. This method offers an orthogonal approach to existing techniques for aggregate analysis.
Area of Science:
- Biopharmaceutical analysis
- Microscopy and image processing
- Protein aggregation studies
Background:
- Therapeutic proteins like IgG can form aggregates, impacting efficacy and safety.
- Accurate characterization of aggregate size distribution is crucial for quality control.
- Existing methods for aggregate analysis have limitations.
Purpose of the Study:
- To establish an image processing platform for determining the size distribution of IgG aggregates.
- To analyze aggregates across micron and larger size ranges (1-100 μm and >100 μm).
- To validate and compare the image processing method with established techniques.
Main Methods:
- Development of image processing algorithms for brightfield and fluorescence microscopy images.
- Application of grayscale conversion, thresholding, and morphological operations.
- Processing of images from various microscopy systems (widefield, confocal, Cytell) after different stress conditions (bubbling, stirring, temperature).
Main Results:
- The image processing platform successfully determined aggregate size distribution in the micron and larger ranges.
- Brightfield image processing results were validated using liquid chromatography resins.
- Image processing data showed good correlation with Mastersizer 2000 and Micro Flow Imaging results.
Conclusions:
- Image processing provides a robust method for analyzing IgG aggregate size distribution.
- This approach can serve as an orthogonal methodology to current analytical techniques.
- The platform is effective for characterizing aggregates formed under various stress conditions.

