化学
光学镊子
拉曼光谱
分子钳
激光器
镊子
分析化学(期刊)
分子物理学
光学
激光束
光电子学
化学物理
谱线
分子
光谱成像
脉冲激光器
光谱分析
作者
Jiuyi Sun,Yiwei Tou,Pai Liu,Shu-Feng Pang,Yun-Hong Zhang,Qishen Huang
标识
DOI:10.1021/acs.analchem.6c00576
摘要
characterization remains difficult to probe at the single-cell level. Here, laser tweezers Raman spectroscopy (LTRS) is employed to achieve micrometer-scale, spatially resolved, label-free biochemical imaging of eight representative cancer cell lines (Jurkat, Raji, NCI-H82, HCC827, PC-9, NCI-H1437, DLD-1, and CHO). Two-dimensional Raman spectral snapshots of optically trapped single-cell lines were acquired, from which pixel-resolved Raman spectra were extracted. Characteristic Raman peak ratios associated with lipids, proteins, nucleic acids, and membrane components were mapped to reveal intracellular biochemical distributions. Based on the spatial profiles of these ratios, the spatial full width at half-maximum (fwhm) was introduced as a quantitative spatial heterogeneity marker. Hematological cancer cells (e.g., Jurkat) exhibit multipeaked distributions with narrow spatial fwhm values (∼2.0-5.3 μm), reflecting organelle-level fragmented heterogeneity, whereas solid tumor cells (e.g., NCI-H82) display single-peaked profiles with broader values (∼18.6-35.9 μm), indicating more uniform and continuous molecular organization. Furthermore, a label-free classification model based on characteristic Raman ratios enables accurate tumor phenotype discrimination. This work establishes spatial fwhm-based, spatially resolved LTRS analysis as a robust framework for quantifying single-cell heterogeneity with potential applications in early cancer screening and therapeutic monitoring.
科研通智能强力驱动
Strongly Powered by AbleSci AI