ArticleBiomedical optics express2017
Fitting-free algorithm for efficient quantification of collagen fiber alignment in SHG imaging applications.
Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Accelerating whole-sample polarization-resolved second harmonic generation imaging in mammary gland tissue via generative adversarial networks.Biomedical optics express · 2024Article
- SHG Fiberscopy Assessment of Collagen Morphology and Its Potential for Breast Cancer Optical Histology.IEEE transactions on bio-medical engineering · 2024Article
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- Multiscale anisotropy analysis of second-harmonic generation collagen imaging of mouse skin.Journal of biomedical optics · 2021Article
- Quantization of collagen organization in the stroma with a new order coefficient.Biomedical optics express · 2018Article
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3 authors.
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Abstract
Collagen fiber alignment derived from second harmonic generation (SHG) microscopy images can be important for disease diagnostics. Image processing algorithms are needed to robustly quantify the alignment in images with high sensitivity and reliability. Fourier transform (FT) magnitude, 2D power spectrum, and image autocorrelation have previously been used to extract fiber information from images by assuming a certain mathematical model (e.g. Gaussian distribution of the fiber-related parameters) and fitting. The fitting process is slow and fails to converge when the data is not Gaussian. Herein we present an efficient constant-time deterministic algorithm which characterizes the symmetricity of the FT magnitude image in terms of a single parameter, named the fiber alignment anisotropy
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