Adaptive Compressive Sampling for Mid-Infrared Spectroscopic Imaging
Adaptive Compressive Sampling for Mid-Infrared Spectroscopic Imaging
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DOI：
10.1109/icip46576.2022.9897796
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发表时间：
2020-08
期刊：
影响因子：
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通讯作者：
M. Lotfollahi;Nguyen H. Tran;Sebastian Berisha;C. Gajjela;Zhu Han;D. Mayerich;R. Reddy
中科院分区：
文献类型：
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作者：
M. Lotfollahi;Nguyen H. Tran;Sebastian Berisha;C. Gajjela;Zhu Han;D. Mayerich;R. Reddy
中红外光谱成像（MIRSI）是一种新兴的无标记，生化定量技术，针对数字组织病理学。传统的组织病理学依赖于改变组织颜色的化学染色。这种方法是定性的，往往使组织病理学检查主观和难以量化。MIRSI通过利用天然分子对比度的定量和可重复成像解决了这些挑战。傅里叶变换红外（FTIR）成像是最著名的MIRSI技术，有两个挑战阻碍了其广泛采用：数据收集速度和空间分辨率。最近的技术突破，如光热MIRSI，提供了一个数量级的空间分辨率的改善。然而，这是以采集速度为代价的，这对于临床组织样本是不切实际的。本文介绍了一种自适应压缩采样技术，以减少高光谱数据采集时间的一个数量级，利用光谱和空间稀疏。该方法识别了最丰富的空间和光谱特征，集成了快速张量完成算法来重建百万像素级图像，并展示了FTIR成像的速度优势，同时提供了与新光热方法相当的空间分辨率。
Mid-infrared spectroscopic imaging (MIRSI) is an emerging class of label-free, biochemically quantitative technologies targeting digital histopathology. Conventional histopathology relies on chemical stains that alter tissue color. This approach is qualitative, often making histopathologic examination subjective and difficult to quantify. MIRSI addresses these challenges through quantitative and repeatable imaging that leverages native molecular contrast. Fourier transform infrared (FTIR) imaging, the best-known MIRSI technology, has two challenges that have hindered its widespread adoption: data collection speed and spatial resolution. Recent technological breakthroughs, such as photothermal MIRSI, provide an order of magnitude improvement in spatial resolution. However, this comes at the cost of acquisition speed, which is impractical for clinical tissue samples. This paper introduces an adaptive compressive sampling technique to reduce hyperspectral data acquisition time by an order of magnitude by leveraging spectral and spatial sparsity. This method identifies the most informative spatial and spectral features, integrates a fast tensor completion algorithm to reconstruct megapixel-scale images, and demonstrates speed advantages over FTIR imaging while providing spatial resolutions comparable to new photothermal approaches.