Yiming Li

This paper introduces LUNAR, a self-supervised neural-physics learning framework for 3D localization microscopy that improves robustness to optical aberrations and high-density molecule localization.

This paper introduces a method to remove defocus backgrounds in fluorescence microscopy using dark channels and dual frequency separation, significantly improving image quality.

The paper introduces an up-sampled PSF method for 3D super-resolution imaging with sparse sampling, achieving high accuracy while reducing data volume and expanding field of view.

This paper develops a high refractive index imaging buffer to improve 3D SMLM imaging depth in thick samples by reducing RI mismatch and enhancing image quality.

This paper introduces a GPU-based B-spline PSF modeling method for fast and accurate high-dimensional single molecule analysis.

This paper introduces uiPSF, a toolbox to infer accurate PSF models from microscopy data for improved SMLM imaging and microscope characterization.

This paper develops a deformable mirror-based remote focusing system to enable high-accuracy whole-cell super-resolution imaging with uniform resolution across thick samples.

This study evaluates how different PSF shapes affect 3D localization accuracy under varying sampling rates and noise conditions, identifying optimal pixel sizes for each PSF.

This study shows that GPR158 in pyramidal neurons affects social novelty behavior in mice by modulating synaptic transmission and glutamate vesicle density in the medial prefrontal cortex.

This paper introduces globLoc, a GPU-based global fitting algorithm for multi-channel single-molecule localization, improving 3D precision and color assignment in SMLM.