TY - GEN
T1 - Mahalanobis distance for class averaging of cryo-EM images
AU - Bhamre, Tejal
AU - Zhao, Zhizhen
AU - Singer, Amit
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/15
Y1 - 2017/6/15
N2 - Single 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.
AB - Single 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.
KW - CTF
KW - Class averaging
KW - Cryo-electron microscopy
KW - Denoising
KW - Mahalanobis distance
KW - Particle picking
KW - Single particle reconstruction
UR - http://www.scopus.com/inward/record.url?scp=85023204461&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85023204461&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2017.7950605
DO - 10.1109/ISBI.2017.7950605
M3 - Conference contribution
C2 - 29081898
AN - SCOPUS:85023204461
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 654
EP - 658
BT - 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
PB - IEEE Computer Society
T2 - 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
Y2 - 18 April 2017 through 21 April 2017
ER -