Center for Immunology, University of Minnesota, Minneapolis, MN 55455;
Department of Microbiology and Immunology, University of Minnesota, Minneapolis, MN 55455.
J Immunol. 2019 Jan 1;202(1):300-308. doi: 10.4049/jimmunol.1801202. Epub 2018 Dec 3.
Advances in imaging have led to the development of powerful multispectral, quantitative imaging techniques, like histo-cytometry. The utility of this approach is limited, however, by the need for time consuming manual image analysis. We therefore developed the software Chrysalis and a group of Imaris Xtensions to automate this process. The resulting automation allowed for high-throughput histo-cytometry analysis of three-dimensional confocal microscopy and two-photon time-lapse images of T cell-dendritic cell interactions in mouse spleens. It was also applied to epi-fluorescence images to quantify T cell localization within splenic tissue by using a "signal absorption" strategy that avoids computationally intensive distance measurements. In summary, this image processing and analysis software makes histo-cytometry more useful for immunology applications by automating image analysis.
成像技术的进步催生了强大的多光谱、定量成像技术，如组织细胞计量术。然而，这种方法的实用性受到耗时的手动图像分析的限制。因此，我们开发了 Chrysalis 软件和一组 Imaris Xtensions 来实现这个过程的自动化。这种自动化实现了高通量的三维共聚焦显微镜和小鼠脾脏中 T 细胞-树突状细胞相互作用的双光子延时成像的组织细胞计量术分析。它也被应用于荧光图像，通过使用避免计算密集型距离测量的“信号吸收”策略来量化 T 细胞在脾组织中的定位。总之，这种图像处理和分析软件通过自动化图像分析，使组织细胞计量术在免疫学应用中更加有用。
