Invention Grant
- Patent Title: Systems, methods, and computer-readable media for ultra-high resolution 3D imaging of whole cells
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Application No.: US15442265Application Date: 2017-02-24
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Publication No.: US10783697B2Publication Date: 2020-09-22
- Inventor: Fang Huang , Joerg Bewersdorf
- Applicant: Yale University
- Applicant Address: US CT New Haven
- Assignee: Yale University
- Current Assignee: Yale University
- Current Assignee Address: US CT New Haven
- Agency: Saul Ewing Arnstein & Lehr LLP
- Agent Kathryn Doyle; Brian R. Landry
- Main IPC: G01N33/48
- IPC: G01N33/48 ; G06T15/08 ; G01N21/64 ; G02B21/36 ; G02B21/16 ; G02B21/22 ; G06T7/11

Abstract:
One aspect of the invention provides a method for drift correction to correct a 3D point collection dataset to compensate for drift over time. The method includes: (a) separating the 3D dataset into n segments, wherein n>1; (b) for each of the n segments, reconstructing a volume image as a 3D histogram in which a count for each voxel in the histogram equals a number of localization estimates falling within the voxel; (c) performing 3D cross-correlation between pairs of the n segments; (d) identifying a correlation peak in a result of the 3D cross-correlation to determine a shift distance between pairs of the n segments; (e) solving an overdetermined system of shift distances to determine independent shifts; and (f) offsetting positions from a plurality of segments in the 3D point collection dataset with the independent shifts calculated in step (e) to correct for drift.
Public/Granted literature
- US20170251191A1 SYSTEMS, METHODS, AND COMPUTER-READABLE MEDIA FOR ULTRA-HIGH RESOLUTION 3D IMAGING OF WHOLE CELLS Public/Granted day:2017-08-31
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