Related Experiment Video
Updated: May 11, 2026

07:59
An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
Published on: March 22, 2018
8.1K
Closed-loop optogenetic control of cell biology enables outcome-driven microscopy
Josiah B Passmore1,2, Alfredo Rates1, Jakob Schröder1
1Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht University, Utrecht, The Netherlands.
Nature Communications
|December 22, 2025
Summary
Outcome-driven microscopy uses smart imaging and optogenetics to precisely control cellular processes like migration and transport. This approach enables targeted manipulation of cell behavior for predefined biological outcomes.
Area of Science:
- Cellular Biology
- Microscopy
- Optogenetics
Background:
- Smart microscopy enhances biological imaging efficiency through real-time analysis and adaptive acquisition.
- Current methods often focus on event-driven, on-demand data acquisition to minimize phototoxicity.
Purpose of the Study:
- Introduce 'outcome-driven' microscopy, a novel framework integrating smart microscopy with optogenetics.
- Demonstrate the ability to control cellular processes and achieve predefined biological outcomes.
- Validate the approach in light-based control of cell migration and nucleocytoplasmic transport.
Main Methods:
- Combined smart microscopy techniques with optogenetics for precise biological control.
- Utilized light-based stimulation to manipulate specific cellular functions.
- Applied the framework to study cell migration and nucleocytoplasmic transport dynamics.
Main Results:
- Achieved robust spatiotemporal control over cellular behavior in individual cells.
- Successfully demonstrated control in cell populations.
- Validated the efficacy of outcome-driven microscopy in manipulating biological processes.
Conclusions:
- Outcome-driven microscopy offers a powerful new paradigm for controlling cellular functions.
- This framework enables precise manipulation of cell biology for targeted research applications.
- The approach holds significant potential for advancing biological imaging and manipulation.

