Multifractality in Surface Potential for Cancer Diagnosis.
Phat K HuynhDang NguyenGrace BinderSharad AmbardarTrung Q LeDmitri V VoroninePublished in: The journal of physical chemistry. B (2023)
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.
Keyphrases
- high resolution
- papillary thyroid
- induced apoptosis
- label free
- squamous cell
- single cell
- single molecule
- cell cycle arrest
- gene expression
- endothelial cells
- mass spectrometry
- lymph node metastasis
- cell death
- cell therapy
- risk assessment
- machine learning
- endoplasmic reticulum stress
- human health
- deep learning
- high throughput
- oxidative stress
- artificial intelligence
- living cells
- pi k akt