For this editorial, I planned an experiment to write an augmented intelligence editorial with the help of ChatGPT. This worked quite nicely and yielded well formulated text. After several cycles, I had a 10 lines compendium of one of the articles from this issue of Cytometry Part A. But in the end, it took much longer than writing by myself. So, I went back to the old fashioned hand written editorial.

This month's Editor's Choice article is by Stevens and colleagues (In this Issue pp. 631–645). The original research work deals with the quantitation of the number of surface antigens on immune cells by mass cytometry. Molecule counting using fluorescent dye conjugated antibodies and flow cytometry has been established more than 20 years ago. However, to the best of my knowledge so far not done using metal conjugated monoclonal antibodies (mAB) And measurement by mass cytometry. In their work, the authors demonstrate for the first time the methodological approach for counting different CD-marker molecules on human peripheral blood leukocyte subsets by mAB conjugated to different isotopes of the Lanthanide series. They report of comparable molecule numbers obtained by mass cytometry and by traditional flow cytometry for CD4-molecule on T-Lymphocytes. Importantly, they show that the antibody numbers counted per cell are not independent of the metal isotopes conjugated to the mAB. Whereas for three metal isotopes similar molecule numbers were obtained that corresponded to the numbers from the flow cytometry data, two isotopes produced systematically higher or lower numbers. Overall, the results presented in this study demonstrate the immense potential of mass cytometry as a powerful tool for high-dimensional cellular analysis. These data can provide a solid rationale for further exploration and integration of this technology into various areas of biomedical research, drug discovery and cancer therapy follow up [1].

In a technical note Pink and colleagues (In this Issue pp. 670–683) demonstrate the pivotal importance of antibody titration and standardized preanalytical procedures, flow cytometric measurement and data analysis in the analysis of extracellular vesicles (EV) by microflow cytometry. The authors demonstrate that standardized protocols play a crucial role in defining the optimal antibody concentration. Using such protocols will ensure consistency and comparability of results across different experiments and laboratories. This approach will ultimately improve the overall quality of the data generated.

Finally, the OMIP-69 record of maximal number of colors of measured by spectral flow cytometry from 2020 [2] was broken by Brandi and colleagues (In this Issue pp. 624–630) by one more color added. In their OMIP-93 the authors are presenting a 41-color OMIP for murine lymphoid and myeloid cells in order to measure different co-inhibitory molecules. Congratulations for this achievement!

I hope for your interest in the briefly reported excellent research papers as well as the those published in this August 2023 issue of Cytometry Part A.

对于这篇社论，我计划进行一项实验，在 ChatGPT 的帮助下编写增强智能社论。这非常有效，并产生了格式良好的文本。经过几个周期，我对本期 Cytometry Part A 的一篇文章有​​了 10 行的概要。但最终，它比我自己写的时间要长得多。所以，我又回到了老式的手写社论。

本月的编辑精选文章由 Stevens 及其同事撰写（本期第 631-645 页）。最初的研究工作涉及通过质谱流式细胞仪对免疫细胞上的表面抗原数量进行定量。使用荧光染料偶联抗体和流式细胞术进行分子计数已于 20 多年前建立。然而，据我所知，迄今为止尚未使用金属偶联单克隆抗体（mAB）和质谱流式细胞仪进行测量。在他们的工作中，作者首次展示了通过与不同镧系同位素缀合的 mAB 对人外周血白细胞亚群上不同 CD 标记分子进行计数的方法。他们报告了通过质谱流式细胞术和传统流式细胞术获得的 T 淋巴细胞上 CD4 分子的可比分子数。重要的是，他们表明每个细胞计数的抗体数量并不独立于与 mAB 缀合的金属同位素。对于三种金属同位素，获得了与流式细胞术数据中的数字相对应的相似分子数，而两种同位素则系统地产生更高或更低的数字。总体而言，本研究的结果证明了质谱流式细胞术作为高维细胞分析的强大工具的巨大潜力。这些数据可以为进一步探索该技术并将其整合到生物医学研究、药物发现和癌症治疗随访等各个领域提供坚实的理论依据[ 1 ]。

Pink 及其同事在技术说明中（本期第 670-683 页）证明了抗体滴定和标准化预分析程序、流式细胞术测量和数据分析在微流式细胞术分析细胞外囊泡 (EV) 中的关键重要性。作者证明标准化方案在确定最佳抗体浓度方面发挥着至关重要的作用。使用此类协议将确保不同实验和实验室结果的一致性和可比性。这种方法最终将提高生成数据的整体质量。

最后， Brandi 及其同事（本期第 624-630 页）通过添加一种颜色打破了2020 年以来光谱流式细胞仪测量的最大颜色数的 OMIP-69 记录 [2 ] 。在他们的 OMIP-93 中，作者提出了一种针对小鼠淋巴和骨髓细胞的 41 色 OMIP，以测量不同的共抑制分子。祝贺取得这一成就！

我希望您对简要报道的优秀研究论文以及 2023 年 8 月号《细胞计数法 A 部分》中发表的论文感兴趣。