Yang Qian, Karpikov Alexander, Toomre Derek, Duncan James
Department of Electrical Engineering, Yale University, New Haven, CT, USA.
Med Image Comput Comput Assist Interv. 2010;13(Pt 2):538-45. doi: 10.1007/978-3-642-15745-5_66.
With the ultimate goal to quantify important biological parameters of microtubules, we present a method to estimate the 3D positions of microtubules from multi-angle TIRF data based on the calibrated decay profiles for each angle. Total Internal Reflection Fluorescence (TIRF) Microscopy images are actually projections of 3D volumes and hence cannot alone produce an accurate localization of structures in the z-dimension, however, they provide greatly improved axial resolution for biological samples. Multiple angle-TIRF microscopy allows controlled variation of the incident angle of the illuminating laser beam, thus generating a set of images of different penetration depths with the potential to estimate the 3D volume of the sample. Our approach incorporates prior information about intensity and geometric smoothness. We validate our method using computer simulated phantom data and test its robustness to noise. We apply our method to TIRF images of microtubules in PTK2 cells and compare the distribution of the microtubule curvatures with electron microscopy (EM) images.
为了量化微管的重要生物学参数这一最终目标,我们提出了一种基于每个角度校准衰减曲线从多角度全内反射荧光(TIRF)数据估计微管三维位置的方法。全内反射荧光(TIRF)显微镜图像实际上是三维体积的投影,因此仅靠它们无法在z维度上准确地定位结构,然而,它们为生物样品提供了大大提高的轴向分辨率。多角度TIRF显微镜允许对照射激光束的入射角进行可控变化,从而生成一组具有不同穿透深度的图像,有潜力估计样品的三维体积。我们的方法纳入了关于强度和几何平滑度的先验信息。我们使用计算机模拟的体模数据验证了我们的方法,并测试了其对噪声的鲁棒性。我们将我们的方法应用于PTK2细胞中微管的TIRF图像,并将微管曲率的分布与电子显微镜(EM)图像进行比较。