公开(公告)号：US10242483B2

公开(公告)日：2019-03-26

申请号：US15675893

申请日：2017-08-14

Applicant: THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO

Inventor： Ali Punjani ,  Marcus Anthony Brubaker ,  David James Fleet

IPC: G06T15/04 ,  G06T19/20 ,  G06F19/16 ,  G06T7/37 ,  G06T7/73

Abstract: A system and a method for image alignment between at least two images to a three-dimensional model. The method including: determining a lower bound and an upper bound of an acceptable likelihood of mismatch between the at least two images; evaluating the likelihood of mismatch between the at least two images over a set of poses (r), shifts (t), or both poses (r) and shifts (t); and discarding those evaluations resulting beyond the lower bound and upper bound.

公开(公告)号：US11515002B2

公开(公告)日：2022-11-29

申请号：US16288429

申请日：2019-02-28

Applicant: THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO

Inventor： Marcus Anthony Brubaker ,  Ali Punjani ,  David James Fleet

IPC: G16B15/00

Abstract: Disclosed herein are systems and methods for efficient 3D structure estimation from images of a transmissive object, including cryo-EM images. The method generally comprises, receiving a set of 2D images of a target specimen from an electron microscope, carrying out a reconstruction technique to determine a likely molecular structure, and outputting the estimated 3D structure of the specimen. The described reconstruction technique comprises: establishing a probabilistic model of the target structure; optimizing using stochastic optimization to determine which structure is most likely; and, optionally utilizing importance sampling to minimize computational burden.

公开(公告)号：US10282513B2

公开(公告)日：2019-05-07

申请号：US15292520

申请日：2016-10-13

Applicant: THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO

Inventor： Marcus Anthony Brubaker ,  Ali Punjani ,  David James Fleet

IPC: G06F19/16 ,  G06F19/12

Abstract: Disclosed herein are systems and methods for efficient 3D structure estimation from images of a transmissive object, including cryo-EM images. The method generally comprises, receiving a set of 2D images of a target specimen from an electron microscope, carrying out a reconstruction technique to determine a likely molecular structure, and outputting the estimated 3D structure of the specimen. The described reconstruction technique comprises: establishing a probabilistic model of the target structure; optimizing using stochastic optimization to determine which structure is most likely; and, optionally utilizing importance sampling to minimize computational burden.

公开(公告)号：US09830732B1

公开(公告)日：2017-11-28

申请号：US15596173

申请日：2017-05-16

Applicant: THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO

Inventor： Ali Punjani ,  Marcus Anthony Brubaker ,  David James Fleet

IPC: G06T15/04 ,  G06T19/20

CPC classification number: G06T15/04 ,  G06F19/16 ,  G06T7/37 ,  G06T7/75 ,  G06T19/20 ,  G06T2207/10061 ,  G06T2207/30024

Abstract: A system and a method for image alignment between at least two images to a three-dimensional model. The method including: determining a lower bound and an upper bound of an acceptable likelihood of mismatch between the at least two images; evaluating the likelihood of mismatch between the at least two images over a set of poses (r), shifts (t), or both poses (r) and shifts (t); and discarding those evaluations resulting beyond the lower bound and upper bound.