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Rapid quantification of mitochondrial fractal dimension in individual cells
- Publication Year :
- 2018
- Publisher :
- Optical Society of America, 2018.
-
Abstract
- An improved technique for fractal characterization called the modified blanket method is introduced that can quantify surrounding fractal structures on a pixel by pixel basis without artifacts associated with scale-dependent image features such as object size. The method interprets images as topographical maps, obtaining information regarding the local surface area as a function of image resolution. Local fractal dimension (FD) can be quantified from the power law exponent derived from the surface area and image resolution relationship. We apply this technique on simulated cell images of known FD and compared the obtained values to power spectral density (PSD) analysis. Our method is sensitive to a wider FD range (2.0–4.5), having a mean error of 1.4% compared to 6% for PSD analysis. This increased sensitivity and an ability to compute regional FD properties enabled the discrimination of the differences in radiation resistant cancer cell responses that could not be detected using PSD analysis.
- Subjects :
- 0301 basic medicine
Mean squared error
Pixel
business.industry
Spectral density
Pattern recognition
Fractal dimension
Atomic and Molecular Physics, and Optics
Article
03 medical and health sciences
030104 developmental biology
0302 clinical medicine
Fractal
030220 oncology & carcinogenesis
Spatial frequency
Sensitivity (control systems)
Artificial intelligence
business
Image resolution
Biotechnology
Mathematics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....afd07c4042e14e7e7d6813af19d1dd33