Zheng Shawn Q, Keszthelyi Bettina, Branlund Eric, Lyle John M, Braunfeld Michael B, Sedat John W, Agard David A
The Howard Hughes Medical Institute, University of California, San Francisco, CA 94158-2517, USA.
J Struct Biol. 2007 Jan;157(1):138-47. doi: 10.1016/j.jsb.2006.06.005. Epub 2006 Jun 23.
A real-time alignment and reconstruction scheme for electron microscopic tomography (EMT) has been developed and integrated within our UCSF tomography data collection software. This newly integrated software suite provides full automation from data collection to real-time reconstruction by which the three-dimensional (3D) reconstructed volume is immediately made available at the end of each data collection. Real-time reconstruction is achieved by calculating a weighted back-projection on a small Linux cluster (five dual-processor compute nodes) concurrently with the UCSF tomography data collection running on the microscope's computer, and using the fiducial-marker free alignment data generated during the data collection process. The real-time reconstructed 3D volume provides users with immediate feedback to fully asses all aspects of the experiment ranging from sample choice, ice thickness, experimental parameters to the quality of specimen preparation. This information can be used to guide subsequent data collections. Access to the reconstruction is especially useful in low-dose cryo EMT where such information is very difficult to obtain due to extraordinary low signal to noise ratio in each 2D image. In our environment, we generally collect 2048 x 2048 pixel images which are subsequently computationally binned four-fold for the on-line reconstruction. Based upon experiments performed with thick and cryo specimens at various CCD magnifications (50000x-80000x), alignment accuracy is sufficient to support this reduced resolution but should be refined before calculating a full resolution reconstruction. The reduced resolution has proven to be quite adequate to assess sample quality, or to screen for the best data set for full-resolution reconstruction, significantly improving both productivity and efficiency of system resources. The total time from start of data collection to a final reconstructed volume (512 x 512 x 256 pixels) is about 50 min for a +/-70 degrees 2k x 2k pixel tilt series acquired at every 1 degrees.
我们已开发出一种用于电子显微镜断层扫描(EMT)的实时对齐与重建方案,并将其集成到了我们的加州大学旧金山分校断层扫描数据采集软件中。这个新集成的软件套件提供了从数据采集到实时重建的全自动化功能,通过该功能,在每次数据采集结束时,三维(3D)重建体积即可立即获得。实时重建是通过在一个小型Linux集群(五个双处理器计算节点)上计算加权反投影来实现的,同时加州大学旧金山分校断层扫描数据采集在显微镜计算机上运行,并使用数据采集过程中生成的无基准标记对齐数据。实时重建的3D体积为用户提供了即时反馈,以便全面评估实验的各个方面,从样品选择、冰厚度、实验参数到样品制备质量。这些信息可用于指导后续的数据采集。在低剂量冷冻EMT中,由于每个二维图像中的信噪比极低,很难获得此类信息,因此能够访问重建结果特别有用。在我们的环境中,我们通常采集2048×2048像素的图像,随后将其在计算上进行四倍合并以用于在线重建。基于在不同CCD放大倍数(50000x - 80000x)下对厚样品和冷冻样品进行的实验,对齐精度足以支持这种降低的分辨率,但在计算全分辨率重建之前应进行优化。事实证明,降低的分辨率足以评估样品质量,或筛选出用于全分辨率重建的最佳数据集,从而显著提高系统资源的生产力和效率。对于以每1度采集的+/-70度2k×2k像素倾斜系列,从数据采集开始到最终重建体积(512×512×256像素)的总时间约为50分钟。