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Image analysis a

机译：图像分析

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Abstract: We have developed a novel approach to study luminescent light emission during migration of living cells by low-light imaging techniques. The equipment consists in an anti-vibration table with a hole for a direct output under the frame of an inverted microscope. The image is directly captured by an ultra low- light level photon-counting camera equipped with an image intensifier coupled by an optical fiber to a CCD sensor. This installation is dedicated to measure in a dynamic manner the effect of SF/HGF (Scatter Factor/Hepatocyte Growth Factor) both on activation of gene promoter elements and on cell motility. Epithelial cells were stably transfected with promoter elements containing Ets transcription factor-binding sites driving a luciferase reporter gene. Luminescent light emitted by individual cells was measured by image analysis. Images of luminescent spots were acquired with a high aperture objective and time exposure of 10 - 30 min in photon-counting mode. The sensitivity of the camera was adjusted to a high value which required the use of a segmentation algorithm dedicated to eliminate the background noise. Hence, image segmentation and treatments by mathematical morphology were particularly indicated in these experimental conditions. In order to estimate the orientation of cells during their migration, we used a dedicated skeleton algorithm applied to the oblong spots of variable intensities emitted by the cells. Kinetic changes of luminescent sources, distance and speed of migration were recorded and then correlated with cellular morphological changes for each spot. Our results highlight the usefulness of the mathematical morphology to quantify kinetic changes in luminescence microscopy. !13
机译：摘要：我们已经开发出一种新颖的方法，通过低光成像技术研究活细胞迁移过程中的发光。该设备包含一个防震台，该台带有一个孔，可在倒置显微镜的框架下直接输出。图像由配备有图像增强器的超低光度光子计数相机直接捕获，该图像增强器通过光纤耦合到CCD传感器。该装置专门用于动态测量SF / HGF（分散因子/肝细胞生长因子）对基因启动子元件的激活和对细胞运动性的影响。上皮细胞被含有驱动荧光素酶报道基因的Ets转录因子结合位点的启动子元件稳定转染。通过图像分析测量单个细胞发出的发光。以高光圈物镜和在光子计数模式下10-30分钟的时间曝光获取发光点的图像。相机的感光度被调整到很高的值，这需要使用专用于消除背景噪音的分割算法。因此，在这些实验条件下，特别指出了通过数学形态学进行图像分割和处理。为了估计细胞在迁移过程中的方向，我们使用了专用的骨架算法，将其应用于细胞发出的可变强度的长方形斑点。记录发光源的动力学变化，距离和迁移速度，然后将其与每个斑点的细胞形态变化相关联。我们的结果突出了数学形态学对定量发光显微镜中动力学变化的有用性。 ！13

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