The system produces large, dense 3D datasets requiring advanced denoising, sometimes utilizing "zero-shot learning" methods to process weak fluorescence signals without pre-training on existing data. Summary of Performance (2026) Capability Field of View Imaging Depth Spatial Range Volume Coverage Resolution Cellular resolution
Custom-written software, frequently using LabVIEW 2020 (National Instruments). VAM_GS.Qiao.2.var
It allows for the observation of neural interactions across widely distributed cortical areas, which was previously challenging due to FOV limitations. The system produces large, dense 3D datasets requiring
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). The system sequences through Zernike modes to compensate
It allows researchers to visualize brain structures spanning from superficial layers down to 900 μm depth in a single study.
Effective imaging up to 900 μm in the mouse brain, crucial for studying deep cortical layers.