Artifact-free whole-slide imaging with structured illumination microscopy and Bayesian image reconstruction
Artifact-free whole-slide imaging with structured illumination microscopy and Bayesian image reconstruction
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DOI：
10.1093/gigascience/giaa035
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发表时间：
2020-04-01
期刊：
影响因子：
9.2
通讯作者：
Hagen, Guy M.
中科院分区：
文献类型：
--
作者：
Johnson, Karl A.;Hagen, Guy M.
结构照明显微镜（SIM）是一种可用于生物样品成像的方法，可以实现光学切片和超分辨率效果。成像设置和数据处理方法的优化导致高质量的图像，而没有由于镶嵌或由于使用SIM方法而产生的伪影。基于贝叶斯估计的重建方法可以用来产生图像的分辨率超出了由光学system.Five完整的数据集，包括大的全景SIM图像的病理生理条件下的人体组织。前列腺癌、皮肤癌、卵巢癌和乳腺癌以及肺结核都使用SIM成像。这些样本是商业上可获得的，是用苏木精-伊红染色的标准组织学标本。荧光显微镜在组织病理学中的应用越来越多。需要减少由使用图像拼接方法或诸如SIM的光学切片方法引起的伪影的方法。缝合的SIM图像产生的结果可能对术中组织学有用。发布高质量的全载玻片图像和相关数据将有助于研究人员进一步推进荧光组织病理学领域。
Structured illumination microscopy (SIM) is a method that can be used to image biological samples and can achieve both optical sectioning and super-resolution effects. Optimization of the imaging set-up and data-processing methods results in high-quality images without artifacts due to mosaicking or due to the use of SIM methods. Reconstruction methods based on Bayesian estimation can be used to produce images with a resolution beyond that dictated by the optical system.Five complete datasets are presented including large panoramic SIM images of human tissues in pathophysiological conditions. Cancers of the prostate, skin, ovary, and breast, as well as tuberculosis of the lung, were imaged using SIM. The samples are available commercially and are standard histological preparations stained with hematoxylin-eosin.The use of fluorescence microscopy is increasing in histopathology. There is a need for methods that reduce artifacts caused by the use of image-stitching methods or optical sectioning methods such as SIM. Stitched SIM images produce results that may be useful for intraoperative histology. Releasing high-quality, full-slide images and related data will aid researchers in furthering the field of fluorescent histopathology.