  Recent advances in high-resolution biomedical imaging focusing on
morphological, electrical, and biochemical properties of cells and tissues,
scaling from cell clusters down to the molecular level, have improved cancer
diagnosis. 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 and breast
cancer cells using Kelvin probe force microscopy (KPFM). An improvement in the
differentiation between normal and cancerous cells of for multifractal analysis
using adaptive versus median threshold for image binarization was demonstrated.
The results reveal the potential of using multifractality as a new biomarker
for cancer diagnosis. Furthermore, the surface potential imaging can be used in
combination with morphological imaging for cancer diagnosis.
