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Development of the hyperspectral cellular imaging system to apply to regenerative medicine

机译:开发用于再生医学的高光谱细胞成像系统

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Regenerative medicine by the transplantation of differentiated cells or tissue stem cells has been clinically performed, particularly in the form of cell sheets. To ensure the safety and effectiveness of cell therapy, the efficient selection of desired cells with high quality is a critical issue, which requires the development of a new evaluation method to discriminate cells non-invasively with high throughput. There were many ways to characterize cells and their components, among which the optical spectral analysis has a powerful potential for this purpose. We developed a cellular hyperspectral imaging system, which captured both spatial and spectral information in a single pixel. Hyperspectral data are composed of continual spectral bands, whereas multispectral data are usually composed of about 5 to 10 discrete bands of large bandwidths. The hyperspectral imaging system which we developed was set up by a commonly-used inverted light microscope for cell culture experiments, and the time-lapse imaging system with automatic focus correction. Spectral line imaging device with EMCCD was employed for spectral imaging. The system finally enabled to acquire 5 dimensional (x, y, z, time, wavelength) data sets and cell-by-cell evaluation. In this study, we optimized the protocol for the creation of cellular spectral database under biological understanding. We enabled to confirm spectrum of autofluorescence of collagen, absorption of specific molecules in the cultural sample and increase of scattering signal due to cell components although detail spectral analyses have not been performed.
机译:通过分化细胞或组织干细胞移植的再生医学已经在临床上进行,特别是以细胞片的形式。为了确保细胞治疗的安全性和有效性,有效选择高质量的所需细胞是一个关键问题,这需要开发一种新的评估方法来以高通量无创地区分细胞。有许多方法可以表征细胞及其成分,其中光谱分析为此具有强大的潜力。我们开发了一种细胞高光谱成像系统,该系统可以在单个像素中捕获空间和光谱信息。高光谱数据由连续光谱带组成,而多光谱数据通常由大带宽的约5至10个离散带组成。我们开发的高光谱成像系统是由用于细胞培养实验的常用倒置光学显微镜和具有自动聚焦校正功能的延时成像系统建立的。具有EMCCD的光谱线成像装置用于光谱成像。该系统最终能够获取5维(x,y,z,时间,波长)数据集和逐个单元评估。在这项研究中,我们优化了在生物学理解下创建细胞光谱数据库的协议。尽管尚未进行详细的光谱分析,但我们能够确认胶原蛋白的自发荧光光谱,培养样品中特定分子的吸收以及由于细胞成分导致的散射信号增加。

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