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Yiming Li
@YimingLi_SZ
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PI at SUSTech, Shenzhen, China. Advanced Microscopy and Biological Applications
Shenzhen, China
Joined January 2014
RT @JonasRies: uiPSF, our toolbox to infer accurate PSF models from bead stacks or blinking molecules is out in Nature Methods. Amazing col…
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RT @Rory_M_Power: Everything you need to build your own 3D multi-color, automatable single molecule localization microscope with full biolo…
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We introduced clear unobstructed brain imaging cocktails (CUBIC) based imaging buffer, which could match the refractive index of objective immersion oil and was capable of tissue clearing, for dual color 3D SMLM imaging of thick samples.
High Refractive Index Imaging Buffer for Dual Color 3D SMLM Imaging of Thick Samples #bioRxiv
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@christlet @fabrice_senger Correct! We add a camera in our normal focus lock system to collect the scattered light for XY drift correction.
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We developed a unified solution using deformable mirrors for fast remote focusing, accurate aberration correction and optimized point spread function engineering.
Aberration correction for deformable mirror based remote focusing enables high-accuracy whole-cell super-resolution imaging #bioRxiv
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RT @JonasRies: We developed an excitation module for 3D multi-color MINFLUX that is simple, stable and cost-effective and will allow for ul…
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RT @JonasRies: We developed uiPSF, a toolbox to infer accurate PSF models for your microscope. Collaboration of the @YimingLi_SZ, @Shechtma…
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RT @JonasRies: Heroic effort by @Rory_M_Power: he developed a detailed step-by-step protocol with all blue-prints for anyone to copy our au…
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Happy to share our new GPU-accelerated B-spline fitter for multi-dimensional single molecule localization microscopy. We can use this fitter to extract rich information from single molecules (e.g., 3D + color, 3D +interference phase, 3D + dipole orientation).
Fast and universal single molecule localization using multi-dimensional point spread functions #bioRxiv
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Another theoretical work from our lab for optimal pixel size for 3D SMLM is out at biorxiv. The sensitivity of both lateral and axial CRLB to the change of pixel size was evaluated. Four different PSFs (astigmatic, DH, Tetrapod and 4Pi PSF) were characterized.
Optimal Sampling Rate for 3D Single Molecule Localization #bioRxiv
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Finally out @naturemethods! We introduced spatially sensitive deep learning to correct for the field dependent aberrations and demonstrated high-accuracy 3D SMLM over a volume of ~180 × 180 × 5 μm3 without hardware scanning.
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RT @bewersdorflab: Our latest work on #bioRxiv answers a simple question: can you see cellular substructures and ultrastructure without flu…
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@christlet Hi Christophe, it works quite well on many of our computers in the lab. We will try to figure out the problem.
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