Multifractality in Surface Potential for Cancer Diagnosis

Phat K. Huynh; Dang Nguyen; Grace Binder; Sharad Ambardar; Trung Q. Le; Dmitri V. Voronine

doi:10.1021/acs.jpcb.3c01733

Multifractality in Surface Potential for Cancer Diagnosis

Phat K. Huynh
, Dang Nguyen
, Grace Binder
, Sharad Ambardar
, Trung Q. Le
, Dmitri V. Voronine

Industrial and Systems Engineering

University of South Florida
University of South Florida, Tampa

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Recent advances in high-resolution biomedical imaging have improved cancer diagnosis, focusing on morphological, electrical, and biochemical properties of cells and tissues, scaling from cell clusters down to the molecular level. Multiscale imaging revealed high complexity that requires advanced data processing methods of multifractal analysis. We performed label-free multiscale imaging of surface potential variations in human ovarian cancer cells using Kelvin probe force microscopy (KPFM). An improvement in the differentiation between nonmalignant and cancerous cells by multifractal analysis using adaptive versus median threshold for image binarization was demonstrated. The results reveal the multifractality of cancer cells as a new biomarker for cancer diagnosis.

Original language	English
Pages (from-to)	6867-6877
Number of pages	11
Journal	Journal of Physical Chemistry B
Volume	127
Issue number	31
DOIs	https://doi.org/10.1021/acs.jpcb.3c01733
State	Published - Aug 10 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1021/acs.jpcb.3c01733

Cite this

@article{a0954b8e53b5494787f15e8326103b3a,

title = "Multifractality in Surface Potential for Cancer Diagnosis",

abstract = "Recent advances in high-resolution biomedical imaging have improved cancer diagnosis, focusing on morphological, electrical, and biochemical properties of cells and tissues, scaling from cell clusters down to the molecular level. Multiscale imaging revealed high complexity that requires advanced data processing methods of multifractal analysis. We performed label-free multiscale imaging of surface potential variations in human ovarian cancer cells using Kelvin probe force microscopy (KPFM). An improvement in the differentiation between nonmalignant and cancerous cells by multifractal analysis using adaptive versus median threshold for image binarization was demonstrated. The results reveal the multifractality of cancer cells as a new biomarker for cancer diagnosis.",

author = "Huynh, \{Phat K.\} and Dang Nguyen and Grace Binder and Sharad Ambardar and Le, \{Trung Q.\} and Voronine, \{Dmitri V.\}",

year = "2023",

month = aug,

day = "10",

doi = "10.1021/acs.jpcb.3c01733",

language = "English",

volume = "127",

pages = "6867--6877",

journal = "Journal of Physical Chemistry B",

issn = "1520-6106",

publisher = "American Chemical [email protected]",

number = "31",

}

TY - JOUR

T1 - Multifractality in Surface Potential for Cancer Diagnosis

AU - Huynh, Phat K.

AU - Nguyen, Dang

AU - Binder, Grace

AU - Ambardar, Sharad

AU - Le, Trung Q.

AU - Voronine, Dmitri V.

PY - 2023/8/10

Y1 - 2023/8/10

N2 - Recent advances in high-resolution biomedical imaging have improved cancer diagnosis, focusing on morphological, electrical, and biochemical properties of cells and tissues, scaling from cell clusters down to the molecular level. Multiscale imaging revealed high complexity that requires advanced data processing methods of multifractal analysis. We performed label-free multiscale imaging of surface potential variations in human ovarian cancer cells using Kelvin probe force microscopy (KPFM). An improvement in the differentiation between nonmalignant and cancerous cells by multifractal analysis using adaptive versus median threshold for image binarization was demonstrated. The results reveal the multifractality of cancer cells as a new biomarker for cancer diagnosis.

AB - Recent advances in high-resolution biomedical imaging have improved cancer diagnosis, focusing on morphological, electrical, and biochemical properties of cells and tissues, scaling from cell clusters down to the molecular level. Multiscale imaging revealed high complexity that requires advanced data processing methods of multifractal analysis. We performed label-free multiscale imaging of surface potential variations in human ovarian cancer cells using Kelvin probe force microscopy (KPFM). An improvement in the differentiation between nonmalignant and cancerous cells by multifractal analysis using adaptive versus median threshold for image binarization was demonstrated. The results reveal the multifractality of cancer cells as a new biomarker for cancer diagnosis.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85167802748&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85167802748&origin=inward

U2 - 10.1021/acs.jpcb.3c01733

DO - 10.1021/acs.jpcb.3c01733

M3 - Article

C2 - 37525377

SN - 1520-6106

VL - 127

SP - 6867

EP - 6877

JO - Journal of Physical Chemistry B

JF - Journal of Physical Chemistry B

IS - 31

ER -

Multifractality in Surface Potential for Cancer Diagnosis

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this