Vam_gs.qiao.2.var
It achieves cellular resolution across an ultra-large FOV exceeding 50 mm².
The system, likely utilizing a variant described as VAM_GS (possibly a reference to Volumetric Adaptive Microscopy/Gaussian Stacking or similar technique), focuses on maintaining high resolution across a large, non-flat area.
The system sequences through Zernike modes to compensate for aberrations, with optimization processes sometimes completing in minutes, tailored for high-speed scanning (e.g., 133 Hz for ROI). VAM_GS.Qiao.2.var
Employs advanced scanning techniques to achieve a total imaged volume of over 45 mm³. 3. Key Applications in Neuroscience
Capable of visualizing neuronal activity across a spatial range of over 7 mm. 2. Components of the Adaptive System It achieves cellular resolution across an ultra-large FOV
Utilizes a deformable mirror to correct for system-level nonlinearities and optical aberrations, enabling sharp imaging across the entire 50 mm² area.
Custom-written software, frequently using LabVIEW 2020 (National Instruments). Employs advanced scanning techniques to achieve a total
This system enables the integration of multi-scale information, bridging the gap between broad cortical coverage and deep, high-resolution structural studies, providing a versatile platform for exploring large-scale neuronal circuitry. To make this guide more tailored,g., LabVIEW 2020)? control? Specific neuroscience applications and results?
