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Longitudinal label-free tracking of cell death dynamics in living engineered human skin tissue with a multimodal microscope

机译:使用多模式显微镜在生物工程人类皮肤组织中进行纵向无标记追踪细胞死亡动力学

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We demonstrate real-time, longitudinal, label-free tracking of apoptotic and necrotic cells in living tissue using a multimodal microscope. The integrated imaging platform combines multi-photon microscopy (MPM, based on two-photon excitation fluorescence), optical coherence microscopy (OCM), and fluorescence lifetime imaging microscopy (FLIM). Three-dimensional (3-D) co-registered images are captured that carry comprehensive information of the sample, including structural, molecular, and metabolic properties, based on light scattering, autofluorescence intensity, and autofluorescence lifetime, respectively. Different cell death processes, namely, apoptosis and necrosis, of keratinocytes from different epidermal layers are longitudinally monitored and investigated. Differentiation of the two cell death processes in a complex living tissue environment is enabled by quantitative image analysis and high-confidence classification processing based on the multidimensional, cross-validating imaging data. These results suggest that despite the limitations of each individual label-free modality, this multimodal imaging approach holds the promise for studies of different cell death processes in living tissue and in vivo organs.
机译:我们演示了实时,纵向,无标记跟踪使用多模式显微镜活组织中的凋亡和坏死细胞。集成的成像平台结合了多光子显微镜(MPM,基于双光子激发荧光),光学相干显微镜(OCM)和荧光寿命成像显微镜(FLIM)。捕获三维(3-D)共配准图像,这些图像分别基于光散射,自发荧光强度和自发荧光寿命携带样本的全面信息,包括结构,分子和代谢特性。纵向监测和研究了来自不同表皮层的角质形成细胞的不同细胞死亡过程,即凋亡和坏死。通过定量图像分析和基于多维,交叉验证的成像数据的高可信度分类处理,可以区分复杂的活组织环境中的两种细胞死亡过程。这些结果表明,尽管每个单独的无标签方式都有局限性,但这种多峰成像方法为研究活组织和体内器官中不同细胞死亡过程提供了希望。

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