Continuous research on small-scale mechanical structures and systems has attracted strong demand for ultrafine deformation and strain measurements. Conventional optical microscope cannot meet such requirements owing to its lower spatial resolution. Therefore, high-resolution scanning electron microscope has become the preferred system for high spatial resolution imaging and measurements. However, scanning electron microscope usually is contaminated by distortion and drift aberrations which cause serious errors to precise imaging and measurements of tiny structures. […] The drift correction is based on the interpolation scheme, where a series of images are captured at one location of the sample and perform image correlation between the first image and the consequent images to interpolate the drift–time relationship of scanning electron microscope images.
Corrects beam-induced sample motion on dose fractionated movie stacks. MotionCor2 is a multi-GPU program that implements a robust iterative alignment algorithm that delivers precise measurement and correction of both global and non-uniform local motions at single pixel level, suitable for both single-particle and tomographic images. It also provides an archiving function that can packs the raw stacks collected.
Provides a movie alignment program. Unblur is a standalone software that evaluates per-frame shifts for each particle. The application is based on iterative alignments of each raw frame to the current best total sum of all other frames with a procedure to reduce sensitivity to noise. It also allows users to ignore filtering or to filter frame sums by the depicted exposure filter.
Allows access to cryo electron microscopy (cryo-EM) with the goal of quality assessment and result reproducibility by statistical resampling. SPHIRE is a software suited for cryo-EM novices, and users can find an array of programs which guide through the complete process.
Provides robust drift correction for aligning of dose-fractionated cryo-electron microscopy image stacks. Zorro uses of an intensity-normalized cross-correlation and logistic noise model to weight each cross-correlation in the multi-reference (MR) model and filters each cross-correlation optimally. Frames are reliably registered by Zorro with low dose and defocus. The combination of a noise model and correlated noise suppression enhances the reliability of Zorro.