Adaptive Optics Module
Often in intravital imaging the focus quality is reduced when the excitation beam propagates through the tissue. Imaging with sub-cellular spatial resolution is then extremely difficult as the different tissue components feature significantly different refractive indexes. This results in reduced optical resolution and limited imaging depth. To overcome this problem, the Adaptive Optics Module as an add-on for the TriM Scope II microscope can be used.
- Aberration correction
- Provides higher optical resolution
- Higher imaging depth
- Z-stack acquisition with correction for each layer
Principle of operation
The adaptive element mainly consists of a thin reflective membrane that can be electrostatically deformed by applying a bias voltage to electrostatic electrode actuators close to the back surface of the membrane.
- Adaptive Optics correction patterns can be saved as templates and are adapted to the imaging depth automatically.
- Software interface to Python programming language
- Combinable with LaVision BioTec’s components:
- 4x Cloud Scanner
- Upright and inverted microscope stands
- Doubleheader 2 Stands Option
- Resonant Scanner
- FLIM X16 TCSPC detector
- FLIM X1 TCSPC detector
- 4x Cloud Scanner
Integration into TriM Scope II
The Adaptive Optics Module is implemented into the excitation beam path of LaVision BioTec’s TriM Scope II scan head. It is externally mounted to the scan head and can be easily coupled into the excitation beam path by moving a single prism. By deflecting the beam through the Adaptive Optics Module before it propagates through the scanning mirror and all further optical elements, aberrations induced by the biological sample and of course by the optical system itself are corrected.
LaVision BioTec’s Adaptive Optics Module is a passive module that does not utilize any slow active feedback loop as it is optimized for straight forward image improvements. The user can optimize each layer individually by setting up to 8 (out of 27) Zernike coefficients (Astigmatism, Spherical Aberration, Koma, Trefoil…). All settings for an individual layer can be set in dependence of the penetration depth and be saved as a template. While acquiring a z-stack, the correction will be adapted to the penetration depth automatically. Custom made optimization algorithms can be implemented via a Python programming interface.