2018
DOI: 10.1063/1.5031759
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Imaging the three-dimensional orientation and rotational mobility of fluorescent emitters using the Tri-spot point spread function

Abstract: Fluorescence photons emitted by single molecules contain rich information regarding their rotational motions, but adapting single-molecule localization microscopy (SMLM) to measure their orientations and rotational mobilities with high precision remains a challenge. Inspired by dipole radiation patterns, we design and implement a Tri-spot point spread function (PSF) that simultaneously measures the three-dimensional orientation and the rotational mobility of dipole-like emitters across a large field of view. W… Show more

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Cited by 73 publications
(95 citation statements)
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“…Fluorescent beads were utilized to validate our method's detection and localization capabilities. A sparse layer of beads was imaged using the standard and Tri-spot PSFs with the system described in [5] (Fig. 2).…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Fluorescent beads were utilized to validate our method's detection and localization capabilities. A sparse layer of beads was imaged using the standard and Tri-spot PSFs with the system described in [5] (Fig. 2).…”
Section: Resultsmentioning
confidence: 99%
“…Henceforth we drop the corresponding constraint sets. This approximation is physically justified since the energy radiated by a dipole is mostly contained in the first three basis images [5,10]. Consequently, it renders Eq.…”
Section: Joint Sparse Basis Deconvolutionmentioning
confidence: 99%
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“…A major advancement of single-molecule localization microscopy has been the ability to use PSF engineering to encode the 3D position of an emitter and/or its emission wavelength [16][17][18] or its molecular orientation [19][20][21]. To achieve emitter localization below the diffraction limit in both the lateral (x,y) and axial (z) dimensions, PSFs have been engineered to change shape rapidly along the z-dimension, either through stretching or through rotation [22][23][24][25][26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%