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$Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy$

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Multifractality in Surface Potential for Cancer Diagnosis.

Phat K Huynh¹, Dang Nguyen², Grace Binder³

¹Department of Industrial and Management Systems Engineering, University of South Florida, Tampa, Florida 33620, United States.

The Journal of Physical Chemistry. B

|August 1, 2023

Summary

Multiscale imaging and multifractal analysis of human ovarian cancer cells show distinct surface potential variations. This technique offers a new biomarker for improved cancer diagnosis, differentiating cancerous from nonmalignant cells.

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Area of Science:

Biomedical Imaging
Cellular Biophysics
Cancer Diagnostics

Background:

High-resolution biomedical imaging advances cancer diagnosis by analyzing cellular properties across scales.
Multiscale imaging reveals cellular complexity necessitating advanced data processing, such as multifractal analysis.

Purpose of the Study:

To investigate label-free multiscale imaging of surface potential variations in human ovarian cancer cells.
To assess the efficacy of multifractal analysis in differentiating nonmalignant from cancerous cells.

Main Methods:

Utilized Kelvin probe force microscopy (KPFM) for label-free multiscale imaging.
Applied multifractal analysis with adaptive versus median thresholding for image binarization.
Analyzed surface potential variations in human ovarian cancer cells.

Main Results:

Demonstrated improved differentiation between nonmalignant and cancerous cells using multifractal analysis.
Identified distinct multifractal patterns in the surface potential of cancer cells.
Showcased the potential of adaptive thresholding for enhanced image analysis.

Conclusions:

Multifractality of cancer cells serves as a novel biomarker for cancer diagnosis.
Multiscale imaging combined with multifractal analysis offers a promising approach for early cancer detection.
Kelvin probe force microscopy provides valuable insights into cellular electrical properties for diagnostic purposes.