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Use of an automated image processing program to quantify recombinant adenovirus particles
Linda J Obenauer-Kutner1, Rebecca Halperin, Peter M Ihnat
1Biotechnology Development, Schering-Plough Research Institute, Union, NJ 07083, USA. linda.obenauer-kutner@spcorp.com
Summary
Automated image processing (AIP) software rapidly quantifies recombinant adenovirus (rAd) shape from electron microscope images. This tool enables efficient analysis of large datasets in pharmaceutical research.
Area of Science:
- Pharmaceutical Research
- Microscopy
- Image Analysis
Background:
- Electron microscopy is vital for pharmaceutical research.
- Analyzing large digital image datasets for quantitative measurements is challenging.
Purpose of the Study:
- To develop an automated image processing (AIP) program.
- To quantify shape measurements of recombinant adenovirus (rAd) from field emission scanning electron microscope (FESEM) images.
Main Methods:
- Developed an automated image processing (AIP) program using Image-Pro Plus software macros.
- Linked the macro program to Microsoft Excel for data management.
- Designed subroutines for automatic measurement of rAd vector objects in FESEM images.
Main Results:
- The AIP program rapidly quantifies shape measurements of rAd.
- Enabled efficient analysis of very large datasets of rAd samples.
- Minimized operator time for quantitative analysis.
Conclusions:
- The developed AIP program is effective for rapid and efficient quantitative analysis of rAd.
- This tool significantly improves the analysis of large electron microscopy datasets in pharmaceutical research.