Supporting data for “Label-free morphological profiling of immune cells: methods and applications”

This dataset relates to the thesis submitted to HKU about "Label-free morphological profiling of immune cells: methods and applications". The thesis aims to explore the T cell activation progress with high-throughput, ultrafast scanning QPI imaging flow cytometry, multiplexed Asymmetric-detection Time-stretch Optical Microscopy (multi-ATOM), to demonstrate optobiophysical profiling could be done by gathering single T cell optobiophysical morphological features at large scale. The thesis reported the high-resolution, single-cell images obtained from multi-ATOM were able to identify crucial optobiophysical profiles of T cell activations, between resting states and activation states, in addition to T cell subtypes (CD4+ and CD8+) profile changes from early to late stage of activation, with dataset uploaded in the HKU datahub. This illustrated the unrevealed capability of applying QPI toward large-scale immunological studies in the future such as screening the efficacy of engineered T cells towards targeted cells, such as cancerous cells.

本数据集与提交给香港大学关于“无标记免疫细胞形态学分析：方法与应用”的论文相关。该论文旨在通过高通量、超快速扫描的四极性偏振成像流式细胞术（QPI）和多重不对称检测时间扩展光学显微镜（multi-ATOM），探讨T细胞活化进程。论文旨在展示，通过大规模收集单个T细胞的单细胞光生物物理形态学特征，可以实现光生物物理分析。论文报道了从multi-ATOM获得的单细胞高分辨率图像能够识别T细胞活化过程中的关键光生物物理特征，包括静息状态与活化状态之间的差异，以及T细胞亚型（CD4+和CD8+）在活化早期至晚期的形态学特征变化。数据集已上传至香港大学数据中心。这一成果揭示了四极性偏振成像技术在未来的大规模免疫学研究中的潜在能力，例如，筛选工程化T细胞针对目标细胞（如癌细胞）的疗效。