Bayesian Estimation of the Axial Position in Astigmatism-Based Three-Dimensional Particle Tracking
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Accurate estimation of the axial position of a molecule using a single lateral image remains a challenge in fluorescent single particle tracking. Here, a principled algorithm for the Bayesian estimation of the axial position of a molecule in three-dimensional astigmatism-based particle tracking is proposed. This technique uses the data from a calibration image set to derive the position without assuming a functional form for the abberated defocusing curve. Using a calibration image set from forty 57 nm beads, the axial position is calculated, and the error associated with position estimation is discussed. This method is compared to previously published algorithms.
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2020 ◽
Vol 13
(1)
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pp. 381-403
2017 ◽
Vol 121
(14)
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pp. 8023-8032
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2004 ◽
Vol 10
(4)
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pp. 425-434
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2018 ◽
Vol 90
(18)
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pp. 10748-10757
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