Characterising live cell behaviour: Traditional label-free and quantitative phase imaging approaches

Area of Science:

• Biomedical Imaging
• Cell Biology
• Quantitative Phase Imaging

Background:

• Label-free imaging avoids confounding artifacts from dyes or labels.
• Traditional imaging methods often lack sufficient contrast for detailed cell analysis.
• Quantitative phase imaging (QPI) offers label-free, high-content imaging.

Purpose of the Study:

• To leverage QPI for label-free dynamic phenotype generation.
• To demonstrate the utility of individual cell metrics over population averages.
• To highlight clinical relevance in treatment response and personalized medicine.

Main Methods:

• Utilizing quantitative phase imaging for label-free cell analysis.
• Employing robust segmentation and tracking for individual cell metrics.
• Analyzing label-free dynamic phenotypes to capture cell-to-cell heterogeneity.

Main Results:

• High-contrast images enabled precise generation of individual cell metrics.
• Label-free dynamic phenotypes effectively differentiated cellular responses to treatments.
• QPI facilitated the creation of detailed, dynamic cell profiles.

Conclusions:

• Label-free imaging with QPI enhances the understanding of cellular heterogeneity and treatment responses.
• Individual cell-level dynamic phenotypes offer superior predictive power compared to population averages.
• This label-free approach supports applications in regenerative and personalized medicine.