A checklist for successful quantitative live cell imaging in systems biology

Area of Science:

• Cell Biology
• Systems Biology
• Bioimaging

Background:

• Mathematical modeling of cellular networks offers insights into medically relevant cell biology.
• Quantitative single-cell monitoring is vital for advancing systems biology models.
• The adoption of systems biology approaches is hindered by their multidisciplinary nature.

Purpose of the Study:

• To highlight under-appreciated technical aspects of live cell imaging for single-cell systems biology.
• To demonstrate how technical considerations impact quantitative modeling of molecular networks.
• To provide lessons learned from imaging applications in systems biology.

Main Methods:

• Focus on technical aspects of live cell imaging.
• Utilize examples of successes and failures in imaging applications.
• Discuss lessons learned for future research.

Main Results:

• Under-appreciated technical details in live cell imaging are critical for quantitative single-cell analysis.
• Properly addressing these technical aspects can lead to deeper understanding of molecular networks.
• Past successes and shortcomings offer valuable guidance for future systems biology studies.

Conclusions:

• Improving technical execution in live cell imaging is essential for advancing systems biology.
• Avoiding common pitfalls in imaging techniques will accelerate progress in understanding cell biology.
• Leveraging collective experience from imaging applications will enhance the impact of systems biology.