New workflow for FRAP and Python integration
The latest software update for Luminosa Single Photon Counting Confocal Microscope expands the platform with new tools for adaptive microscopy workflows, fluorescence recovery after photobleaching (FRAP), and improved single-molecule measurements. The update gives researchers more flexibility when designing experiments while simplifying automation and integration with existing Python-based analysis pipelines.
LumiPy: Python control for adaptive microscopy
The new LumiPy interface brings Luminosa directly into the Python ecosystem. Researchers can create custom acquisition workflows, integrate open-source libraries, automate experiments, and generate reports using the Python environment of their choice.
Using LumiPy, you can:
- Move actuators such as mirrors and filter wheels
- Define ROIs and sample positions in a global coordinate system
- Configure measurement parameters
- Start and stop measurements
- Access measurement results during acquisition
Core microscope functionality—including laser safety, interlocks, and over-illumination protection—remains managed by Luminosa.
LumiPy supports both the integrated Python 3.13 environment and any Windows-recognized Python installation. Scripts can be written either in the built-in editor or in any external Python IDE.
New FRAP workflow
A new context-based Fluorescence Recovery After Photobleaching (FRAP) workflow extends the Luminosa toolbox for researchers studying biomolecular condensates and other dynamic biological systems.
Improved LumiFinder functionality
Several additions make single-molecule experiments more efficient and robust:
- Different excitation powers can now be used automatically for emitter identification and time-trace measurements, reducing unnecessary photobleaching.
- Additional stopping criteria for time-trace measurements provide greater flexibility for immobilized single-molecule FRET experiments.
Learn more
Learn more about Luminosa or download the latest Luminosa software release.