Publications by authors named "Y Shechtman"
Article Synopsis
- Single-molecule localization microscopy (SMLM) enables high-resolution imaging beyond traditional light diffraction limits, particularly in 3D using engineered point spread functions (PSFs).
- The study addresses challenges in super-resolving structures in thick samples by introducing long-axial-range double-helix (DH)-PSFs, which streamline the imaging and analysis workflows.
- Experimentation shows that these DH-PSFs, combined with deep learning techniques, enhance image resolution and speed, achieving effective 3D imaging without the need for complex slicing or postprocessing.
Article Synopsis
- Generative models like diffusion models have improved significantly, allowing for the creation of high-quality, realistic images in various fields, including super-resolution microscopy.
- The study shows that these generated images closely resemble real experimental images without heavily relying on memorization of the training data, highlighting the model’s effectiveness.
- A deep learning method for single-image super-resolution is enhanced using generated data, leading to improved image quality, and the entire process is made accessible online for researchers to generate synthetic microscopy data easily.
Single-molecule localization microscopy (SMLM) is a powerful tool for observing structures beyond the diffraction limit of light. Combining SMLM with engineered point spread functions (PSFs) enables 3D imaging over an extended axial range, as has been demonstrated for super-resolution imaging of various cellular structures. However, super-resolving structures in 3D in thick samples, such as whole mammalian cells, remains challenging as it typically requires acquisition and post-processing stitching of multiple slices to cover the entire sample volume or more complex analysis of the data.
View Article and Find Full Text PDFMotivation: Genomics-based diagnostic methods that are quick, precise, and economical are essential for the advancement of precision medicine, with applications spanning the diagnosis of infectious diseases, cancer, and rare diseases. One technology that holds potential in this field is optical genome mapping (OGM), which is capable of detecting structural variations, epigenomic profiling, and microbial species identification. It is based on imaging of linearized DNA molecules that are stained with fluorescent labels, that are then aligned to a reference genome.
View Article and Find Full Text PDFHigh-throughput microscopy is vital for screening applications, where three-dimensional (3D) cellular models play a key role. However, due to defocus susceptibility, current 3D high-throughput microscopes require axial scanning, which lowers throughput and increases photobleaching and photodamage. Point spread function (PSF) engineering is an optical method that enables various 3D imaging capabilities, yet it has not been implemented in high-throughput microscopy due to the cumbersome optical extension it typically requires.
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