OOPS: Object-Oriented Polarization Software for analysis of fluorescence polarization microscopy images

Most essential cellular functions are performed by proteins assembled into larger complexes. Fluorescence Polarization Microscopy (FPM) is a powerful technique that goes beyond traditional imaging methods by allowing researchers to measure not only the localization of proteins within cells, but also their orientation or alignment within complexes or cellular structures. FPM can be easily integrated into standard widefield microscopes with the addition of a polarization modulator. However, the extensive image processing and analysis required to interpret the data have limited its widespread adoption. To overcome these challenges and enhance accessibility, we introduce OOPS (Object-Oriented Polarization Software), a MATLAB package for object-based analysis of FPM data. By combining flexible image segmentation and novel object-based analyses with a high-throughput FPM processing pipeline, OOPS empowers researchers to simultaneously study molecular order and orientation in individual biological structures; conduct population assessments based on morphological features, intensity statistics, and FPM measurements; and create publication-quality visualizations, all within a user-friendly graphical interface. Here, we demonstrate the power and versatility of our approach by applying OOPS to punctate and filamentous structures.

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Publication Details

Journal
PLoS Computational Biology
Published
2024-08-12
DOI
https://doi.org/10.1371/journal.pcbi.1011723
Citations
3
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.99

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article

OOPS: Object-Oriented Polarization Software for analysis of fluorescence polarization microscopy images

Tomasz J. Nawara, Rose M. Albert, Alexa L. Mattheyses, William F. Dean
3 citations
PLoS Computational Biology
Cell Image Analysis Techniques
1.99
article

OOPS: Object-Oriented Polarization Software for analysis of fluorescence polarization microscopy images

Tomasz J. Nawara, Rose M. Albert, Alexa L. Mattheyses, William F. Dean
article en
3 citations

Abstract

Most essential cellular functions are performed by proteins assembled into larger complexes. Fluorescence Polarization Microscopy (FPM) is a powerful technique that goes beyond traditional imaging methods by allowing researchers to measure not only the localization of proteins within cells, but also their orientation or alignment within complexes or cellular structures. FPM can be easily integrated into standard widefield microscopes with the addition of a polarization modulator. However, the extensive image processing and analysis required to interpret the data have limited its widespread adoption. To overcome these challenges and enhance accessibility, we introduce OOPS (Object-Oriented Polarization Software), a MATLAB package for object-based analysis of FPM data. By combining flexible image segmentation and novel object-based analyses with a high-throughput FPM processing pipeline, OOPS empowers researchers to simultaneously study molecular order and orientation in individual biological structures; conduct population assessments based on morphological features, intensity statistics, and FPM measurements; and create publication-quality visualizations, all within a user-friendly graphical interface. Here, we demonstrate the power and versatility of our approach by applying OOPS to punctate and filamentous structures.

PLoS Computational BiologyVol. 20(8)
University of Alabama at Birmingham (US)
National Science Foundation, National Institutes of Health, Directorate for Biological Sciences, National Institute of General Medical Sciences, National Institute of Arthritis and Musculoskeletal and Skin Diseases, Division of Molecular and Cellular Biosciences
Openalex Percentile: Top 12%
Cell Image Analysis Techniques
1.99
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