Dynamic control of three-dimensional light distributions through wavefront engineering: hardware and software system
Analytik
IT / Software / Bioinformatik
Ref.-Nr.: 0202-5001-LI
Technology
Scientists at the Max Planck Institute of Neurobiology engineered a dedicated optical path and a convenient software tool for the generation and control of three-dimensional light distributions according to user-selected patterns. The software comprises the following key features:
- Python-based control software with a Qt-based graphical user interface
- Server-client architecture to control and calibrate relevant hardware components
- Flexible communication protocol enables integration with commonly used programming languages and microscope software interfaces
- Modular and scriptable pattern and timing control
- Automatic calibration procedure to align holographic system to the microscope’s coordinate system
- Two-photon holography, for restricted axial activation
Benefits
- Modular user interface and control system eases addition of three-dimensional holographic stimulation to microscope systems
- Upgrade already existing devices to be among the first on the market in the growing market of three-dimensional holographic microscopy
Licensing Information
This control software is available through a non-exclusive license agreement with Max-Planck- Innovation, the tech-transfer agency of Max Planck Society.
Figures
Literature
- Dal Maschio, M. et al. in Cellular ImagingTechniques for Neuroscience and Beyond (ed. Wouterlood, F. G.) 101–120 (Academic Press, 2012).
- Dal Maschio, M. in Novel Approaches for Single Molecule Activation and Detection (eds. Benfenati, F., Fabrizio, E. D. & Torre, V.) 7–26 (Springer Berlin Heidelberg, 2014).
- Dal Maschio, M. et al. Simultaneous two-photon imaging and photo-stimulation with structured light illumination. Opt. Express 18, 18720 (2010).
- Dal Maschio, M., De Stasi, A. M., Benfenati, F. & Fellin, T. Three-dimensional in vivo scanning microscopy with inertia-free focus control. Opt. Lett. 36, 3503 (2011).
- Difato, F. et al. in Neuronal Network Analysis (eds. Fellin, T. & Halassa, M.) 61–81 (Humana Press, 2012).
PDF Download
- Ref.-Nr.: 0202-5001-LI (289,3 KiB)
Kontaktperson
Dr. Dieter Link
Diplom-Biologe
Telefon: 089 / 29 09 19-28
E-Mail:
dieter.link@max-planck-innovation.de