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Spatial Biology at Scale: Challenges and Opportunities in Harmonizing Complex Datasets Advancements in biological tissue sampling, imaging, microscopy, sequencing methods, statistical techniques, and machine learning tools have collectively propelled the field of spatial biology. This discipline originated about twenty-five years ago but is gaining traction in recent times, with the journal Nature Methods naming spatial proteomics as its method of the year in 2024. Spatial biology brings spatial context to molecular-level understanding, allowing researchers to simultaneously examine tissue structure and cellular composition. This dual focus defines the approach of spatial biology to address some of the most pressing questions in biology today. Source: https://www.elucidata.io/blog/spatial-biology-at-scale-challenges-and-opportunities-in-harmonizing-complex-datasets

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