基于ScanImage的单像素级高光谱采集：应用于时域相干拉曼成像
Hyperspectral acquisition with ScanImage at the single pixel level: Application to time domain coherent Raman imaging
AI总结：
提出基于ScanImage的单像素级高光谱采集策略，通过减慢X轴扫描实现快速时间信号采样，应用于时域相干拉曼成像，实现低频范围超快高光谱振动成像。
摘要：
我们提出了一种综合策略，并利用商业ScanImage软件平台进行了实际实施，以在快速时间依赖信号在每个像素级变化时执行高光谱点扫描显微镜。在所提出的采集方案中，X轴扫描速度减慢，而数据采集保持高速，以便在每个像素级快速采集时间依赖信号。ScanImage生成的原始二维图像在X和Y之间具有非常不对称的宽高比，X轴同时编码空间和时间采集。结果是X轴宏像素，其中相关的时间依赖信号被采样，从而提供高光谱信息。我们在时域相干拉曼成像的背景下举例说明了所提出的高光谱方案，其中泵浦脉冲脉冲式激发分子振动，随后由时间延迟的探测脉冲探测。在这种情况下，时间依赖信号是快速声光延迟线，可以在每个像素级以25μs扫描4.5ps的延迟。利用该采集方案，我们展示了在500μm视场上，在14ms（7帧/秒）内，低频范围[10cm⁻¹, 150cm⁻¹]的超快高光谱振动成像。所提出的采集方案可以轻松扩展到其他需要在每个像素级采集快速演化信号的应用。
英文摘要：
We present a comprehensive strategy and its practical implementation using the commercial ScanImage software platform to perform hyperspectral point scanning microscopy when a fast time dependent signal varies at each pixel level. In the proposed acquisition scheme the scan along the X axis is slowed down while the data acquisition is maintained at high pace to enable the rapid acquisition of the time dependent signal at each pixel level. The ScanImage generated raw 2D images have a very asymmetric aspect ratio between X and Y, the X axis encoding both for space and time acquisition. The results are X axis macro-pixel where the associated time depend signal is sampled therefore providing an hyperspectral information. We exemplified the proposed hyperspectral scheme in the context of time domain coherent Raman imaging where a pump pulse impulsively excites molecular vibrations that are subsequently probed by a time delayed probe pulse. In this case the time dependent signal is a fast acousto-optics delay line that can scan a delay of 4.5ps in 25$μ$s, at each pixel level. We this acquisition scheme we demonstrate ultra-fast hyperspectral vibrational imaging in the low frequency range [10$cm^{-1}$, 150 $cm^{-1}$] over a 500 $μm$ field of view in 14ms (7 frames/s). The proposed acquisition scheme can be readily extended to other applications requiring to acquired a fast evolving signal at each pixel level.
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