Accurate determination of local defocus and specimen tilt in electron microscopy.
نویسندگان
چکیده
Accurate knowledge of defocus and tilt parameters is essential for the determination of three-dimensional protein structures at high resolution using electron microscopy. We present two computer programs, CTFFIND3 and CTFTILT, which determine defocus parameters from images of untilted specimens, as well as defocus and tilt parameters from images of tilted specimens, respectively. Both programs use a simple algorithm that fits the amplitude modulations visible in a power spectrum with a calculated contrast transfer function (CTF). The background present in the power spectrum is calculated using a low-pass filter. The background is then subtracted from the original power spectrum, allowing the fitting of only the oscillatory component of the CTF. CTFTILT determines specimen tilt parameters by measuring the defocus at a series of locations on the image while constraining them to a single plane. We tested the algorithm on images of two-dimensional crystals by comparing the results with those obtained using crystallographic methods. The images also contained contrast from carbon support film that added to the visibility of the CTF oscillations. The tests suggest that the fitting procedure is able to determine the image defocus with an error of about 10nm, whereas tilt axis and tilt angle are determined with an error of about 2 degrees and 1 degrees, respectively. Further tests were performed on images of single protein particles embedded in ice that were recorded from untilted or slightly tilted specimens. The visibility of the CTF oscillations from these images was reduced due to the lack of a carbon support film. Nevertheless, the test results suggest that the fitting procedure is able to determine image defocus and tilt angle with errors of about 100 nm and 6 degrees, respectively.
منابع مشابه
New methods for electron tomography
Transmission electron microscopy images acquired under tilted-beam conditions experience an image shift as a function of defocus settings—a fact that is exploited as a method for defocus determination in most of the automated tomography data collection systems. While the method was shown to be highly accurate for a large variety of specimens, we point out that in its original design it can stri...
متن کاملStructure Determination and Correction for Distortions in Hrem by Crystallographic Image Processing
A heavily distorted high resolution electron microscopy (HREM) image of a cesium-niobium oxide-fluoride sample wa reconstructed by crystallographic image processing (CIP). In the reconstructed image, showing 4bm symmetry, all metal atom were clearly seen with correct contrast, whereas in the original micrograph the fourfold symmetry was lost and only sore areas could be interpreted in terms of ...
متن کاملImproved specimen reconstruction by Hilbert phase contrast tomography.
The low signal-to-noise ratio (SNR) in images of unstained specimens recorded with conventional defocus phase contrast makes it difficult to interpret 3D volumes obtained by electron tomography (ET). The high defocus applied for conventional tilt series generates some phase contrast but leads to an incomplete transfer of object information. For tomography of biological weak-phase objects, optim...
متن کاملNeural networks applied to the determination of thickness and defocus from High Resolution Transmission Electron Microscopy images
In this paper we show how neural networks can be used as powerful tools for quantitative extraction of relevant information from high resolution transmission electron microscopy (HRTEM) images. Different data preprocessing and modelling strategies (including Multilayer Perceptrons and Probabilistic Neural Networks) were analyzed. The methodology has been applied to the determination of thicknes...
متن کاملTilt-Pair Analysis of Images from a Range of Different Specimens in Single-Particle Electron Cryomicroscopy
The comparison of a pair of electron microscope images recorded at different specimen tilt angles provides a powerful approach for evaluating the quality of images, image-processing procedures, or three-dimensional structures. Here, we analyze tilt-pair images recorded from a range of specimens with different symmetries and molecular masses and show how the analysis can produce valuable informa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Journal of structural biology
دوره 142 3 شماره
صفحات -
تاریخ انتشار 2003