武汉大学雷诚团队提出了成像流式细胞术，实时吞吐量超过每秒100万个事件。相关论文于2025年2月10日发表在《光：科学与应用》杂志上。

据悉，成像流式细胞术（IFC）将显微镜的成像能力与流式细胞术的高通量相结合，为生物医学、绿色能源和环境监测等领域的高精度、高通量细胞分析提供了一种有前景的解决方案。然而，由于成像帧率和实时数据处理的限制，现有IFC系统的实时吞吐量被限制在大约每秒1000-10,000个事件（eps），这不足以进行大规模的细胞分析。

在这项工作中，该研究组通过集成光学时间拉伸（OTS）成像、基于微流体的细胞操作和在线图像处理，展示了实时吞吐量超过1,000,000 eps的IFC。

细胞流动速度高达15M /s清晰成像，空间分辨率为780每个细胞的图像被捕获、存储和分析。其系统的能力和性能，通过临床结直肠样本的恶性肿瘤鉴定得到验证。

这项工作为成像流式细胞术的吞吐量创造了新的记录，研究团队相信它有可能通过实现高效、准确和智能的测量来彻底改变细胞分析。

附：英文原文

Title: Imaging flow cytometry with a real-time throughput beyond 1,000,000 events per second

Author: Zhou, Jiehua, Mei, Liye, Yu, Mingjie, Ma, Xiao, Hou, Dan, Yin, Zhuo, Liu, Xun, Ding, Yan, Yang, Kaining, Xiao, Ruidong, Yuan, Xiandan, Weng, Yueyun, Long, Mengping, Hu, Taobo, Hou, Jinxuan, Xu, Yu, Tao, Liang, Mei, Sisi, Shen, Hui, Yalikun, Yaxiaer, Zhou, Fuling, Wang, Liang, Wang, Du, Liu, Sheng, Lei, Cheng

Issue&Volume: 2025-02-10

Abstract: Imaging flow cytometry (IFC) combines the imaging capabilities of microscopy with the high throughput of flow cytometry, offering a promising solution for high-precision and high-throughput cell analysis in fields such as biomedicine, green energy, and environmental monitoring. However, due to limitations in imaging framerate and real-time data processing, the real-time throughput of existing IFC systems has been restricted to approximately 1000-10,000 events per second (eps), which is insufficient for large-scale cell analysis. In this work, we demonstrate IFC with real-time throughput exceeding 1,000,000 eps by integrating optical time-stretch (OTS) imaging, microfluidic-based cell manipulation, and online image processing. Cells flowing at speeds up to 15m/s are clearly imaged with a spatial resolution of 780nm, and images of each individual cell are captured, stored, and analyzed. The capabilities and performance of our system are validated through the identification of malignancies in clinical colorectal samples. This work sets a new record for throughput in imaging flow cytometry, and we believe it has the potential to revolutionize cell analysis by enabling highly efficient, accurate, and intelligent measurement.

DOI: 10.1038/s41377-025-01754-9

Source: https://www.nature.com/articles/s41377-025-01754-9