| Abstract: | Electron Tomography(ET) is an important method for studying cell ultrastructure in three-dimensional(3 D) space. By combining cryo-electron tomography of frozen-hydrated samples(cryo-ET) and a sub-tomogram averaging approach, ET has recently reached sub-nanometer resolution, thereby realizing the capability for gaining direct insights into function and mechanism. To obtain a high-resolution 3 D ET reconstruction, alignment and geometry determination of the ET tilt series are necessary. However, typical methods for determining geometry require human intervention, which is not only subjective and easily introduces errors, but is also labor intensive for high-throughput tomographic reconstructions. To overcome these problems, we have developed an automatic geometry-determination method, called Auto GDeterm. By taking advantage of the high-contrast re-projections of the Iterative Compressed-sensing Optimized Non-Uniform Fast Fourier Transform(NUFFT) reconstruction(ICON)and a series of numerical analysis methods, Auto GDeterm achieves high-precision fully automated geometry determination. Experimental results on simulated and resin-embedded datasets show that the accuracy of Auto GDeterm is high and comparable to that of the typical "manual positioning" method. We have made Auto GDeterm available as software, which can be freely downloaded from our website http://ear.ict.ac.cn. |
