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. 2020 Aug 27;11:4307. doi: 10.1038/s41467-020-18158-5

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — Significant technology developments have enabled the profiling of large numbers of cells in parallel by single-cell transcriptomics. Initial manual methods allowed single-cell transcriptomic analysis on only a few cells. The development of integrated fluidic circuits and the introduction of liquid handling robots into the process brought cell numbers to several thousand and then further increased with nanodroplet and picowell technologies. The introduction of in situ barcoding has increased throughput even further to hundreds of thousands of cells with the latest developments in spatial methods integrating the spatial location of transcriptomic information within tissue sections.