Recent advances in morphological cell image analysis

Area of Science:

• Biomedical Engineering
• Computational Biology
• Medical Imaging

Background:

• Morphological cell analysis is vital for disease diagnosis and biomedical research.
• Increasing demands in bioinformatics and medical applications drive research in this area.
• Over 1000 publications in the last 20 years highlight the significance of cell morphology analysis.

Purpose of the Study:

• To summarize recent advances in image processing for morphological cell analysis.
• To provide a comprehensive overview of methods for cell shape, regularity, classification, and statistics.
• To facilitate practical solutions by compiling relevant research and identifying future trends.

Main Methods:

• Review of image processing techniques for cell segmentation (e.g., cell clumps).
• Extraction of morphological characteristics and features from cell images.
• Application of statistical analysis and 3D reconstruction for cell analysis.

Main Results:

• Identification and summarization of diverse image processing solutions for cell morphology.
• Coverage of applications including abnormal cell identification and statistical analysis.
• Compilation of methods for cell clumps segmentation and morphological feature extraction.

Conclusions:

• Image processing offers powerful tools for detailed morphological cell analysis.
• This review aids researchers in selecting appropriate methods for biomedical and bioinformatics applications.
• Future research trends in cell morphology analysis are highlighted.