论文标题
空间光干扰显微镜（Slim）：生物医学的原理和应用
Spatial light interference microscopy (SLIM): principle and applications to biomedicine
论文作者
论文摘要
在本文中，我们回顾了空间光干扰显微镜（Slim），这是一种带有白光照明的相对比对比显微镜上的常见路径，相位变为干涉仪。作为最敏感的定量相成像（QPI）方法之一，Slim允许使用子纳米级路径长度稳定性进行无斑点相重建。我们首先回顾了QPI，散射，全息图和微拷贝中的图像形成。然后，我们概述了从理论到仪器的纤细成像。讨论了Zernike相位对比显微镜，Slim中的相位检索和Halo去除算法。接下来，我们将讨论操作的要求，重点关注内部开发的软件，用于Slim，以使用彩色相机进行高通量采集，整个滑动扫描，Mosaic Tile注册和成像。最后，我们回顾了Slim在基础科学和临床研究中的应用。 Slim可以研究细胞动力学，细胞生长和增殖，细胞迁移和质量运输等。在临床环境中，Slim可以帮助进行癌症研究，生殖技术和血液测试等。最后，我们回顾了新兴趋势，在这种趋势中，纤细的成像与人工智能（AI）结合（AI）带来了计算特异性，并带来了计算特异性，并为生物学提供了新的解决方案。
In this paper, we review spatial light interference microscopy (SLIM), a common-path, phase-shifting interferometer, built onto a phase-contrast microscope, with white-light illumination. As one of the most sensitive quantitative phase imaging (QPI) methods, SLIM allows for speckle-free phase reconstruction with sub-nanometer path-length stability. We first review image formation in QPI, scattering, holography, and microcopy. Then, we outline SLIM imaging from theory to instrumentation. Zernike phase-contrast microscopy, phase retrieval in SLIM, and halo removal algorithms are discussed. Next, we discuss the requirements for operation, with a focus on software developed in-house for SLIM that high-throughput acquisition, whole slide scanning, mosaic tile registration, and imaging with a color camera. Lastly, we review the applications of SLIM in basic science and clinical studies. SLIM can study cell dynamics, cell growth and proliferation, cell migration, and mass transport, etc. In clinical settings, SLIM can assist with cancer studies, reproductive technology, and blood testing, etc. Finally, we review an emerging trend, where SLIM imaging in conjunction with artificial intelligence (AI) brings computational specificity and, in turn, offers new solutions to outstanding challenges in cell biology and pathology.
