The review discusses the evolution of the Minimal Information for Studies of Extracellular Vesicles (MISEV) from 2014 to 2023. MISEV2023 aims to refine standards and improve the rigor, reproducibility, and transparency of extracellular vesicle (EV) research. It provides clear definitions, detailed experimental design guidelines, data reporting requirements, and standardization of sample treatment to ensure reliable and reproducible EV research. MISEV2023 encourages sharing of experimental information and promotes the construction of databases to enhance openness and transparency. The review summarizes the evolution of the three MISEV editions, highlighting key changes in nomenclature, sample collection and pre-processing, EV separation and concentration, EV characterization, EV release and uptake, functional studies, and in vivo analysis. MISEV2023 introduces new terms and definitions, such as "non-vesicular extracellular particles" (NVEPs), and emphasizes the importance of accurate nomenclature to avoid misuse of biogenesis terms. It also expands the range of EV sources and provides detailed guidelines for sample collection, storage, and processing. MISEV2023 includes updated methods for EV separation and concentration, such as fluid flow-based techniques, and emphasizes the need for standardized reporting of experimental conditions. It also discusses various techniques for EV characterization, including flow cytometry, mass spectrometry proteomics, and high-resolution microscopy, which have advanced the understanding of EV biology. The review also highlights the importance of functional studies and in vivo analysis in EV research, emphasizing the need for quantitative comparisons and the use of appropriate negative controls. MISEV2023 addresses the challenges in EV research, including the lack of standardized isolation techniques and the need for more transparent experimental processes. The review concludes that MISEV2023 provides important guidance for EV research, but there are still challenges to overcome, such as the need for more efficient isolation techniques and the integration of machine learning in EV research. The continuous updates to MISEV aim to enhance the visibility and development of EV research, ensuring it progresses in a healthy and rigorous manner.The review discusses the evolution of the Minimal Information for Studies of Extracellular Vesicles (MISEV) from 2014 to 2023. MISEV2023 aims to refine standards and improve the rigor, reproducibility, and transparency of extracellular vesicle (EV) research. It provides clear definitions, detailed experimental design guidelines, data reporting requirements, and standardization of sample treatment to ensure reliable and reproducible EV research. MISEV2023 encourages sharing of experimental information and promotes the construction of databases to enhance openness and transparency. The review summarizes the evolution of the three MISEV editions, highlighting key changes in nomenclature, sample collection and pre-processing, EV separation and concentration, EV characterization, EV release and uptake, functional studies, and in vivo analysis. MISEV2023 introduces new terms and definitions, such as "non-vesicular extracellular particles" (NVEPs), and emphasizes the importance of accurate nomenclature to avoid misuse of biogenesis terms. It also expands the range of EV sources and provides detailed guidelines for sample collection, storage, and processing. MISEV2023 includes updated methods for EV separation and concentration, such as fluid flow-based techniques, and emphasizes the need for standardized reporting of experimental conditions. It also discusses various techniques for EV characterization, including flow cytometry, mass spectrometry proteomics, and high-resolution microscopy, which have advanced the understanding of EV biology. The review also highlights the importance of functional studies and in vivo analysis in EV research, emphasizing the need for quantitative comparisons and the use of appropriate negative controls. MISEV2023 addresses the challenges in EV research, including the lack of standardized isolation techniques and the need for more transparent experimental processes. The review concludes that MISEV2023 provides important guidance for EV research, but there are still challenges to overcome, such as the need for more efficient isolation techniques and the integration of machine learning in EV research. The continuous updates to MISEV aim to enhance the visibility and development of EV research, ensuring it progresses in a healthy and rigorous manner.