Invention Grant
- Patent Title: Fully automatic, template-free particle picking for electron microscopy
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Application No.: US16621306Application Date: 2018-06-13
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Publication No.: US11557034B2Publication Date: 2023-01-17
- Inventor: Amit Singer , Ayelet Heimowitz , Joakim Anden , Yuehaw Khoo , Joseph Kileel
- Applicant: The Trustees of Princeton University
- Applicant Address: US NJ Princeton
- Assignee: The Trustees of Princeton University
- Current Assignee: The Trustees of Princeton University
- Current Assignee Address: US NJ Princeton
- Agency: Michael Best & Friedrich LLP
- International Application: PCT/US2018/037375 WO 20180613
- International Announcement: WO2019/190576 WO 20191003
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/32 ; G06T7/11 ; G06V20/69

Abstract:
Systems and methods are described for the fully automatic, template-free locating and extracting of a plurality of two-dimensional projections of particles in a micrograph image. A set of reference images is automatically assembled from a micrograph image by analyzing the image data in each of a plurality of partially overlapping windows and identifying a subset of windows with image data satisfying at least one statistic criterion compared to other windows. A normalized cross-correlation is then calculated between the image data in each reference image and the image data in each of a plurality of query image windows. Based on this cross-correlation analysis, a plurality of locations in the micrograph is automatically identified as containing a two-dimensional projection of a different instance of the particle of the first type. The two-dimensional projections identified in the micrograph are then used to determine the three-dimensional structure of the particle.
Public/Granted literature
- US20200167913A1 FULLY AUTOMATIC, TEMPLATE-FREE PARTICLE PICKING FOR ELECTRON MICROSCOPY Public/Granted day:2020-05-28
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