Bioimaging approaches for quantification of individual cell behavior during cell fate decisions.

Area of Science:

• Cell Biology
• Bioimaging
• Pathophysiology

Background:

• Single-cell tracking provides dynamic insights into cellular heterogeneity in human health and disease.
• Experimental variables significantly impact data collection and interpretation in single-cell analysis.

Purpose of the Study:

• To review technical aspects and biological findings in individual cell behavior analysis.
• To highlight contributions of single-cell approaches in clinically relevant human conditions.
• To discuss key technical considerations for long-term single-cell experiments.

Main Methods:

• Review of literature on single-cell bioimaging techniques.
• Analysis of experimental variables affecting data quality.
• Discussion of applications in various human conditions.

Main Results:

• Single-cell analysis has advanced understanding in embryo development, stem cells, inflammation, cancer, and microbiology.
• Identified cellular mechanisms and molecular pathways underlying these conditions.
• Highlighted challenges in automatic detection, feature extraction, and long-term tracking.

Conclusions:

• Single-cell bioimaging has enormous potential for understanding disease pathogenesis.
• Further technical development is needed to overcome tracking challenges.
• This approach is crucial for developing novel therapies in human pathophysiology.