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# Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM

@article{Zhao2014RotationallyII, title={Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM}, author={Zhizhen Zhao and Amit Singer}, journal={Journal of structural biology}, year={2014}, volume={186 1}, pages={ 153-66 } }

- Published in Journal of structural biology 2014
DOI:10.1016/j.jsb.2014.03.003

We introduce a new rotationally invariant viewing angle classification method for identifying, among a large number of cryo-EM projection images, similar views without prior knowledge of the molecule. Our rotationally invariant features are based on the bispectrum. Each image is denoised and compressed using steerable principal component analysis (PCA) such that rotating an image is equivalent to phase shifting the expansion coefficients. Thus we are able to extend the theory of bispectrum of… CONTINUE READING

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