Abstract
Multicolor 3D quantitative imaging of large tissue volumes is necessary to understand tissue development and organization as well as interactions between distinct cell types in situ. However, tissue imaging remains technically challenging, particularly imaging of bone and marrow. Here, we describe a pipeline to reproducibly generate high-dimensional quantitative data from bone and bone marrow that may be extended to any tissue. We generate thick bone sections from adult mouse femurs with preserved tissue microarchitecture and demonstrate eight-color imaging using confocal microscopy without linear unmixing. We introduce XiT, an open-access software for fast and easy data curation, exploration and quantification of large imaging data sets with single-cell resolution. We describe how XiT can be used to correct for potential artifacts in quantitative 3D imaging, and we use the pipeline to measure the spatial relationship between hematopoietic cells, bone matrix and marrow Schwann cells.