Y. Shechtman

Universal inverse modelling of point spread functions for SMLM localization and microscope characterization

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

Ascites in malignant ovarian cancer confer ovarian cancer cells chemoresistance to platinum. Combination treatment with crizotinib and 2-hydroxyestradiol restores platinum sensitivity.

Large-FOV 3D localization microscopy by spatially variant point spread function generation

This paper introduces PPG3D, a PCA-based PSF generator for 3D localization microscopy, improving accuracy and speed for large FOV imaging.

This microtubule does not exist: Super-resolution microscopy image generation by a diffusion model

This paper trains a diffusion model to generate realistic super-resolution microscopy images and shows its effectiveness in improving deconvolution performance with limited real data.

DBlink: Dynamic localization microscopy in super spatiotemporal resolution via deep learning

DBlink improves super spatiotemporal resolution in SMLM by using deep learning to reconstruct dynamic processes from video data.

Bioluminescent Synthetic Cells Communicate with Natural Cells and Self-Activate Light-Responsive Proteins

This paper develops bioluminescent synthetic cells that communicate with natural cells and self-activate light-responsive proteins, enabling in vivo applications without external light sources.

VIPR: Vectorial Implementation of Phase Retrieval for fast and accurate microscopic pixel-wise pupil estimation

The paper introduces a fast and accurate method for estimating microscopic pixel-wise pupil phase information using a vectorial diffraction model, without prior knowledge.

High-throughput multicolor 3D localization in live cells by depth-encoding imaging flow cytometry

This paper introduces a method for high-throughput 3D localization in live cells using depth-encoding imaging flow cytometry, demonstrating its application to measure DNA and chromosomal compaction.

Single particle diffusion characterization by deep learning

This paper develops a deep learning method to classify and quantify anomalous diffusion processes from single-particle trajectories, outperforming traditional methods with fewer data points.

3D Single-Molecule Super-Resolution Microscopy With A Tilted Light Sheet

This paper introduces TILT3D, a 3D single-molecule super-resolution microscopy technique that enables high-precision imaging in thick cells using tilted light sheets and specialized PSFs.