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. 2021 Nov 17;19:364. doi: 10.1186/s12951-021-01107-9

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — PA analysis of artificial exosomes. A Schematic diagram of the administration of SUC-based nanoparticles and the detection of PA signals. B PA analysis of the nanoparticles. C Quantitative analysis of the signals of SUC. D Quantitative analysis of the signals of DiR. EMS were administrated to the mice. PA imaging was used to track the distribution of EMS at different time (3, 6, 12, 24, and 48 h). The quantitative analysis of PA signals was performed with Image J software. The data in C and D are expressed as mean ± SD, n = 3. The statistical significance was calculated via one-way ANOVA with a Tukey post-hoc test. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001