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首页> 外文期刊>Applied Spectroscopy: Society for Applied Spectroscopy >Minor Distortions with Major Consequences: Correcting Distortions in Imaging Spectrographs
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Minor Distortions with Major Consequences: Correcting Distortions in Imaging Spectrographs

机译：有严重后果的轻微失真：校正成像光谱仪中的失真

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摘要

Projective transformation is a mathematical correction (implemented in software) used in the remote imaging field to produce distortion-free images. We present the application of projective transformation to correct minor alignment and astigmatism distortions that are inherent in dispersive spectrographs. Patterned white-light images and neon emission spectra were used to produce registration points for the transformation. Raman transects collected on microscopy and fiber-optic systems were corrected using established methods and compared with the same transects corrected using the projective transformation. Even minor distortions have a significant effect on reproducibility and apparent fluorescence background complexity. Simulated Raman spectra were used to optimize the projective transformation algorithm. We demonstrate that the projective transformation reduced the apparent fluorescent background complexity and improved reproducibility of measured parameters of Raman spectra. Distortion correction using a projective transformation provides a major advantage in reducing the background fluorescence complexity even in instrumentation where slit-image distortions and camera rotation were minimized using manual or mechanical means. We expect these advantages should be readily applicable to other spectroscopic modalities using dispersive imaging spectrographs.
机译：投影变换是一种用于远程成像领域的数学校正（通过软件实现），可产生无失真的图像。我们介绍了投射变换的应用，以纠正色散光谱仪固有的微小对准和像散畸变。图案化的白光图像和霓虹发射光谱用于生成转换的配准点。使用已建立的方法对在显微镜和光纤系统上收集的拉曼样线进行校正，并与使用投影变换校正的相同样线进行比较。即使很小的变形也对重现性和明显的荧光背景复杂性有重大影响。模拟的拉曼光谱用于优化投影变换算法。我们证明了投射变换降低了表观荧光背景的复杂性，并提高了拉曼光谱测量参数的可重复性。即使使用手动或机械方式将狭缝图像失真和相机旋转减至最小的仪器，使用投影变换的失真校正也可提供降低背景荧光复杂度的主要优势。我们希望这些优点应易于应用于使用色散成像光谱仪的其他光谱模式。

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