Three-dimensional assessments are necessary to determine the true, spatially-resolved composition of tissues (Updated March 28, 2024).

A preprint abstract from biorxiv.org discusses the importance of three-dimensional (3D) assessments in accurately determining the composition of tissues, particularly in the context of cancer research. The study highlights the limitations of two-dimensional (2D) assessments, which may not accurately represent the heterogeneity of tissues. The researchers used a deep learning-based tissue mapping platform to reconstruct the 3D microanatomy of normal and cancer-containing human pancreas samples. The findings emphasize the need for 3D assessments to accurately assess tissue composition and determine neoplastic content. However, it is important to note that this preprint has not yet undergone peer review. [Extracted from the article]