IEEE Trans Med Imaging. 2020 Apr;39(4):1127-1137. doi: 10.1109/TMI.2019.2942552. Epub 2019 Sep 27.
We present software-based methods for automatic phase control and for mosaicing high-speed, Lissajous-scanned images. To achieve imaging speeds fast enough for mosaicing, we first increase the image update rate tenfold from 3 to 30 Hz, then vertically interpolate each sparse image in real-time to eliminate fixed pattern noise. We validate our methods by imaging fluorescent beads and automatically maintaining phase control over the course of one hour. We then image fixed mouse brain tissues at varying update rates and compare the resulting mosaics. Using reconstructed image data as feedback for phase control eliminates the need for phase sensors and feedback controllers, enabling long-term imaging experiments without additional hardware. Mosaicing subsampled images results in video-rate imaging speeds, nearly fully recovered spatial resolution, and millimeter-scale fields of view.
我们提出了基于软件的自动相位控制和拼接高速莱萨如扫描图像的方法。为了实现足够快的拼接成像速度，我们首先将图像更新率从 3 Hz 提高到 30 Hz，然后实时对每个稀疏图像进行垂直插值，以消除固定模式噪声。我们通过对荧光珠进行成像并在一个小时的过程中自动保持相位控制来验证我们的方法。然后，我们以不同的更新率对固定的小鼠脑组织进行成像，并比较得到的拼接图像。使用重建的图像数据作为相位控制的反馈，消除了对相位传感器和反馈控制器的需求，从而能够进行无需额外硬件的长期成像实验。对抽样图像进行拼接可以实现视频帧率的成像速度、几乎完全恢复的空间分辨率和毫米级的视场。
