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In single molecule localisation super-resolution microscopy the need for repeated image capture limits the imaging speed, while the size of fluorescence probes limits the possible theoretical localisation resolution. Here, we demonstrated a…

We present an ultra-fast, precise, parameter-free method, which we term Deep-STORM, for obtaining super-resolution images from stochastically-blinking emitters, such as fluorescent molecules used for localization microscopy. Deep-STORM uses…

Optics · Physics 2018-05-03 Elias Nehme , Lucien E. Weiss , Tomer Michaeli , Yoav Shechtman

This paper addresses the automatic image segmentation problem in a region merging style. With an initially over-segmented image, in which the many regions (or super-pixels) with homogeneous color are detected, image segmentation is…

Computer Vision and Pattern Recognition · Computer Science 2015-05-20 Bo Peng , Lei Zhang , David Zhang

In the effort to aid cytologic diagnostics by establishing automatic single cell screening using high throughput digital holographic microscopy for clinical studies thousands of images and millions of cells are captured. The bottleneck lies…

Image and Video Processing · Electrical Eng. & Systems 2024-10-28 Julia Sistermanns , Ellen Emken , Gregor Weirich , Oliver Hayden , Wolfgang Utschick

Fast and sensitive detector arrays enable image scanning microscopy (ISM), overcoming the trade-off between spatial resolution and signal-to-noise ratio (SNR) typical of confocal microscopy. However, current ISM approaches cannot provide…

Accurate segmentation of 3-D cell nuclei in microscopy images is essential for the study of nuclear organization, gene expression, and cell morphodynamics. Current image segmentation methods are challenged by the complexity and variability…

Image and Video Processing · Electrical Eng. & Systems 2022-03-18 Sundaresh Ram , Jeffrey J. Rodriguez

With super-resolution optical microscopy, it is now possible to observe molecular interactions in living cells. The obtained images have a very high spatial precision but their overall quality can vary a lot depending on the structure of…

Computer Vision and Pattern Recognition · Computer Science 2018-03-30 Louis-Émile Robitaille , Audrey Durand , Marc-André Gardner , Christian Gagné , Paul De Koninck , Flavie Lavoie-Cardinal

Stimulated Emission Depletion (STED) microscopy has emerged as a powerful technique providing visualization of biological structures at the molecular level in living samples. In this technique, the diffraction limit is broken by selectively…

Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or require manual interventions to specify hyper-parameters in…

Scanning tunnelling microscopy (STM) is a powerful technique for imaging surfaces with atomic resolution, providing insight into physical and chemical processes at the level of single atoms and molecules. A regular task of STM image…

The evolution of the scanning modules for scanning transmission electron microscopes (STEM) has realized the possibility to generate arbitrary scan pathways, an approach currently explored to improve acquisition speed and to reduce electron…

We propose a new design for a multi-color, parallelized STED microscope, capable of multiple beam scanning. Our design is based on a common programmable diffracting optical element used to split, shape, and align both the excitation beams…

Optics · Physics 2015-04-21 Omer Wagner , Ori Cheshnovsky , Yael Roichman

Super-resolution imaging techniques have largely improved our capabilities to visualize nanometric structures in biological systems. Their application further enables one to potentially quantitate relevant parameters to determine the…

Biological Physics · Physics 2019-12-18 Tina Kosǔta , Marta Cullell-Dalmau , Francesca Cella Zanacchi , Carlo Manzo

Cell and nucleus segmentation are fundamental tasks for quantitative bioimage analysis. Despite progress in recent years, biologists and other domain experts still require novel algorithms to handle increasingly large and complex real-world…

Computer Vision and Pattern Recognition · Computer Science 2024-08-29 Thibaut Goldsborough , Ben Philps , Alan O'Callaghan , Fiona Inglis , Leo Leplat , Andrew Filby , Hakan Bilen , Peter Bankhead

Super-resolution effects in optical and fluorescence biological systems are analyzed and their relations with uncertainty relations are discussed. Super-resolutions obtained in the optical systems, including especially NSOM, SIM and…

Optics · Physics 2015-06-12 Yacob Ben-Aryeh

Imaging assays of cellular function, especially those using fluorescent stains, are ubiquitous in the biological and medical sciences. Despite advances in computer vision, such images are often analyzed using only manual or rudimentary…

Computer Vision and Pattern Recognition · Computer Science 2017-06-06 Lena R. Bartell , Lawrence J. Bonassar , Itai Cohen

Results: We present an application that enables the quantitative analysis of multichannel 5-D (x, y, z, t, channel) and large montage confocal fluorescence microscopy images. The image sequences show stem cells together with blood vessels,…

The use of fluorescent molecules to create long sequences of low-density, diffraction-limited images enables highly-precise molecule localization. However, this methodology requires lengthy imaging times, which limits the ability to view…

Image and Video Processing · Electrical Eng. & Systems 2024-03-26 Yair Ben Sahel , Yonina C. Eldar

The recent work by Chmyrov et al. (Nature Methods 2013) presents a capstone for the current major super-resolution microscopy techniques. In optical super-resolution microscopy, two pathways are commonly taken: targeted illumination…

Optics · Physics 2015-01-07 Xuanze Chen , Peng Xi
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