Data-Rich Spatial Profiling of Cancer Tissue: Astronomy Informs Pathology

Astronomy was among the first disciplines to embrace Big Data that capitalizes on these learnings is described. AstroPath is being and use it to characterize spatial relationships between stars and used to generate and display tumor-immune maps that can be galaxies. Today, medicine, in particular pathology, has similar used for mIF immuno-oncology biomarker development. The needs with regard to characterizing the spatial relationships development of AstroPath as an open resource for visualizing between cells, with an emphasis on understanding the organization and analyzing large-scale spatially resolved mIF datasets is of the tumor microenvironment. In this article, we chronicle the underway, akin to how publicly available maps of the sky have emergence of data-intensive science through the development of been used by astronomers and citizen scientists alike. Associated the Sloan Digital Sky Survey and describe how analysis patterns technical, academic, and funding considerations, as well and approaches similarly apply to multiplex immunofluoresas extended future development for inclusion of spatial trancence (mIF) pathology image exploration. The lessons learned scriptomics and application of artificial intelligence, are also from astronomy are detailed, and the new AstroPath platform addressed.