# MAHALANOBIS DISTANCE FOR CLASS AVERAGING OF CRYO-EM IMAGES

## Author(s): Bhamre, Tejal; Zhao, Zhizhen; Singer, Amit

To refer to this page use: http://arks.princeton.edu/ark:/88435/pr1mt6h
DC FieldValueLanguage
dc.contributor.authorBhamre, Tejal-
dc.contributor.authorZhao, Zhizhen-
dc.contributor.authorSinger, Amit-
dc.date.accessioned2019-08-29T17:01:23Z-
dc.date.available2019-08-29T17:01:23Z-
dc.date.issued2017en_US
dc.identifier.citationBhamre, Tejal, Zhao, Zhizhen, Singer, Amit. (2017). MAHALANOBIS DISTANCE FOR CLASS AVERAGING OF CRYO-EM IMAGES. 2017 IEEE 14TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2017), 654 - 658en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1mt6h-
dc.description.abstractSingle particle reconstruction (SPR) from cryo-electron microscopy (EM) is a technique in which the 3D structure of a molecule needs to be determined from its contrast transfer function (CTF) affected, noisy 2D projection images taken at unknown viewing directions. One of the main challenges in cryo-EM is the typically low signal to noise ratio (SNR) of the acquired images. 2D classification of images, followed by class averaging, improves the SNR of the resulting averages, and is used for selecting particles from micrographs and for inspecting the particle images. We introduce a new affinity measure, akin to the Mahalanobis distance, to compare cryo-EM images belonging to different defocus groups. The new similarity measure is employed to detect similar images, thereby leading to an improved algorithm for class averaging. We evaluate the performance of the proposed class averaging procedure on synthetic datasets, obtaining state of the art classification.en_US
dc.format.extent654 - 658en_US
dc.language.isoen_USen_US
dc.relation.ispartof2017 IEEE 14TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2017)en_US
dc.rightsAuthor's manuscripten_US
dc.titleMAHALANOBIS DISTANCE FOR CLASS AVERAGING OF CRYO-EM IMAGESen_US
dc.typeConference Articleen_US
dc.date.eissued2017-06-19en_US
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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