首页> 外文会议>Biomedical applications of light scattering V >Cell death monitoring using quantitative optical coherence tomography methods
【24h】

Cell death monitoring using quantitative optical coherence tomography methods

机译:使用定量光学相干断层扫描方法监测细胞死亡

获取原文
获取原文并翻译 | 示例

摘要

Cell death is characterized by a series of predictable morphological changes, which modify the light scattering properties of cells. We present a multi-parametric approach to detecting changes in subcellular morphology related to cell death using optical coherence tomography (OCT). Optical coherence tomography data were acquired from acute myeloid leukemia (AML) cells undergoing apoptosis over a period of 48 hours. Integrated backscatter (IB) and spectral slope (SS) were computed from OCT backscatter spectra and statistical parameters were extracted from a generalized gamma (GG) distribution fit to OCT signal intensity histograms. The IB increased by 2-fold over 48 hours with significant increases observed as early as 4 hours. The SS increased in steepness by 2.5-fold with significant changes at 12 hours, while the GG parameters were sensitive to apoptotic changes at 24 to 48 hours. Histology slides indicated nuclear condensation and fragmentation at 24 hours, suggesting the late scattering changes could be related to nuclear structure. A second series of measurements from AML cells treated with cisplatin, colchicine or ionizing radiation suggested that the GG parameters could potentially differentiate between modes of cell death. Distinct cellular morphology was observed in histology slides obtained from cells treated under each condition.
机译:细胞死亡的特征是一系列可预测的形态变化,这些变化改变了细胞的光散射特性。我们提出了一种多参数方法来检测与使用光学相干断层扫描(OCT)的细胞死亡相关的亚细胞形态的变化。光学相干断层扫描数据是从经历48小时凋亡的急性髓细胞白血病(AML)细胞中获得的。从OCT背向散射光谱计算出积分后向散射(IB)和光谱斜率(SS),并从适合OCT信号强度直方图的广义伽玛(GG)分布中提取统计参数。 IB在48小时内增加了2倍,最早4小时就观察到了明显的增加。 SS的陡度增加了2.5倍,在12小时时发生了显着变化,而GG参数对24至48小时时的凋亡变化敏感。组织学幻灯片显示24小时核浓缩和破碎,表明后期的散射变化可能与核结构有关。对用顺铂,秋水仙碱或电离辐射处理过的AML细胞进行的第二系列测量表明,GG参数可能会区分细胞死亡的模式。在从在每种条件下处理的细胞获得的组织学切片中观察到明显的细胞形态。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号