Multi-parametric imaging of cell heterogeneity in apoptosis analysis

Area of Science:

• Cell Biology
• Biotechnology

Background:

• Apoptosis, or programmed cell death, is a complex process with significant heterogeneity in individual cell responses.
• Analyzing apoptosis requires quantifying multiparametric data from live cells, including morphological and molecular events.

Purpose of the Study:

• To review image-based evaluation of apoptosis using imaging flow cytometry and other techniques.
• To highlight the capabilities and future perspectives of imaging flow cytometry in apoptosis research.

Main Methods:

• Discusses fluorescent microscopy, flow cytometry, and imaging flow cytometry for apoptosis analysis.
• Focuses on image-based evaluation of apoptosis at single-cell and population levels.
• Highlights multiparametric morphometric and fluorescence quantitative data interrogation.

Main Results:

• Imaging flow cytometry provides statistically robust analysis of complex apoptosis data.
• The review covers current assays, multicolor labeling probes, and novel developments.
• Discusses challenges and limitations in current apoptosis analysis techniques.

Conclusions:

• Imaging flow cytometry is a powerful tool for detailed, multiparametric apoptosis studies.
• Further advancements in imaging cytometry and probes will enhance apoptosis research.
• Understanding apoptosis heterogeneity is crucial for biological and medical applications.