Abstract：
:We report a non-iterative localization algorithm that utilizes the scaling of a three-dimensional (3D) image in the axial direction and focuses on evaluating the radial symmetry center of the scaled image to achieve the desired single-particle localization. Using this approach, we analyzed simulated 3D particle images by wide-field microscopy and confocal microscopy respectively, and the 3D trajectory of quantum dots (QDs)-labeled influenza virus in live cells. Both applications indicate that the method can achieve 3D single-particle localization with a sub-pixel precision and sub-millisecond computation time. The precision is almost the same as that of the iterative nonlinear least-squares 3D Gaussian fitting method, but with two orders of magnitude higher computation speed. This approach can reduce considerably the time and costs for processing the large volume data of 3D images for 3D single-particle tracking, which is especially suited for 3D high-precision single-particle tracking, 3D single-molecule imaging and even new microscopy techniques.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Liu SL,Li J,Zhang ZL,Wang ZG,Tian ZQ,Wang GP,Pang DWdoi
10.1038/srep02462subject
Has Abstractpub_date
2013-01-01 00:00:00pages
2462issn
2045-2322pii
srep02462journal_volume
3pub_type
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