Related Experiment Video
Updated: Jun 4, 2026

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
Published on: October 28, 2018
[Analysis of the common morphological characteristics of cancerous cells using atomic force microscope]
Qing-ming Shu1, Yue-yue Li, Ming Zhu
1Department of Pathology, General Hospital of Armed Police Forces, Beijing 100039, China.
Objective:
To observe the surface ultrastructure of different tumor cells in vivo using atomic force microscope (AFM) and analyze their common characteristics.
Methods:
We selected 60 specimens of each of normal liver cells, liver cancer, cervical squamous cells, cervical cancer cells, ductal epithelial cells and breast cancer cells for scanning using AFM. The cell surface scan images were analyzed using image analysis software to identify their common morphological features.
Results:
From normal cervical squamous epithelial cells, intermediate cells, and basal cells to HPV-infected cells, CIN2-3 cells and cervical cancer cells, the membrane surface roughness became gradually increased (P<0.05). Similarly, the surface roughness increased significantly in the order of normal liver cells, hepatitis B cirrhosis liver cells, and hepatocellular carcinoma cells (P<0.05). The average surface roughness also tended to increase from normal mammary gland cells to mammary gland hyperplasia cells and breast cancer cells (P<0.05).
Conclusion:
Normal cells and tumor cells show different cell membrane morphologies, and such morphological features provide a reliable basis for clinical pathological diagnosis and differential diagnosis of malignancies.

