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In fluorescence microscopy, Single Molecule Localization Microscopy (SMLM) techniques aim at localizing with high precision high density fluorescent molecules by stochastically activating and imaging small subsets of blinking emitters.…

Localization of single fluorescent molecules is key for physicochemical and biophysical measurements such as single-molecule tracking and super-resolution imaging by single-molecule localization microscopy (SMLM). Recently a series of…

Optics · Physics 2021-09-06 Luciano A. Masullo , Lucía F. Lopez , Fernando D. Stefani

To be able to resolve molecular-clusters it is crucial to access vital informations (such as, molecule density and cluster-size) that are key to understand disease progression and the underlying mechanism. Traditional single-molecule…

Quantitative Methods · Quantitative Biology 2021-01-27 Partha Pratim Mondal

Single-molecule localization microscopy (SMLM) allows reconstructing biology-relevant structures beyond the diffraction limit by detecting and localizing individual fluorophores -- fluorescent molecules stained onto the observed specimen --…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Romain Seailles , Jean-Baptiste Masson , Jean Ponce , Julien Mairal

The diffraction of light imposes a fundamental limit on the resolution of light microscopes. This limit can be circumvented by creating and exploiting independent behaviors of the sample at length scales below the diffraction limit. In…

Biological Physics · Physics 2024-06-19 Mohamadreza Fazel , Michael J. Wester

We propose a continuous non-convex variational model for Single Molecule Localisation Microscopy (SMLM) super-resolution in order to overcome light diffraction barriers. Namely, we consider a variation of the Continuous Exact $\ell_0$…

Image and Video Processing · Electrical Eng. & Systems 2020-10-27 Marta Lazzaretti , Luca Calatroni , Claudio Estatico

Single molecule localization microscopy is a recently developed superresolution imaging technique to visualize structural properties of single cells. The basic principle consists in chemically attaching fluorescent dyes to the molecules,…

Single molecule localization microscopy (SMLM) techniques enable imaging biological samples well beyond the diffraction limit of light, but they vary significantly in their spatial and temporal resolutions. High-order statistical analysis…

Biological Physics · Physics 2016-03-15 Shachar Schidorsky , Xiyu Yi , Yair Razvag , Yonatan Golan , Shimon Weiss , Eilon Sherman

Super-resolution localization microscopy is based on determining the positions of individual fluorescent markers in a sample. The major challenge in reaching an ever higher localization precision lies in the limited number of collected…

Optics · Physics 2020-08-05 Daniel Böning , Franz-Ferdinand Wieser , Vahid Sandoghdar

State space models (SSMs) have recently achieved strong performance on long sequence modeling tasks while offering improved memory and computational efficiency compared to transformer based architectures. However, their evaluation has been…

Machine Learning · Computer Science 2026-03-13 Fatemeh Valeh , Monika Farsang , Radu Grosu , Gerhard Schütz

We show that structural information can be extracted from single molecule localization microscopy (SMLM) data. More precisely, we reinterpret SMLM data as the measures of a phaseless optical diffraction tomography system for which the…

Signal Processing · Electrical Eng. & Systems 2023-07-19 Thanh-An Pham , Emmanuel Soubies , Ferréol Soulez , Michael Unser

Single molecule localization microscopy (SMLM) permits the visualization of cellular structures an order of magnitude smaller than the diffraction limit of visible light, and an accurate, objective evaluation of the resolution of an SMLM…

Single-molecule localization fluorescence microscopy constructs super-resolution images by sequential imaging and computational localization of sparsely activated fluorophores. Accurate and efficient fluorophore localization algorithms are…

Image and Video Processing · Electrical Eng. & Systems 2020-07-21 Artur Speiser , Lucas-Raphael Müller , Ulf Matti , Christopher J. Obara , Wesley R. Legant , Jonas Ries , Jakob H. Macke , Srinivas C. Turaga

We propose a straightforward sample-based technique to calibrate the axial detection in 3D single molecule localization microscopy (SMLM). Using microspheres coated with fluorescent molecules, the calibration curves of PSF-shaping- or…

Various techniques have been developed to measure the 2D and 3D positions and 2D and 3D orientations of fluorescent molecules with improved precision over standard epifluorescence microscopes. Due to the challenging signal-to-background…

Optics · Physics 2021-02-02 Oumeng Zhang , Matthew D. Lew

Structured illumination in Single Molecule Localization Microscopy provides new information on the position of molecules and thus improves the localization precision compared to standard localization methods. Here, we used a time-shifted…

We propose an unfolded accelerated projected-gradient descent procedure to estimate model and algorithmic parameters for image super-resolution and molecule localization problems in image microscopy. The variational lower-level constraint…

Numerical Analysis · Mathematics 2024-03-27 Silvia Bonettini , Luca Calatroni , Danilo Pezzi , Marco Prato

Single-molecule localization microscopy (SMLM) surpasses the diffraction limit, achieving subcellular resolution. Traditional SMLM analysis methods often rely on point spread function (PSF) model fitting, limiting the application of complex…

Quantitative Methods · Quantitative Biology 2024-10-04 Tingdan Luo

Understanding the structure of supramolecular complexes provides insight into their functional capabilities and how they can be modulated in the context of disease. Super-resolution microscopy (SRM) excels in performing this task by…

Quantitative Methods · Quantitative Biology 2023-08-09 Afonso Mendes , Hannah S. Heil , Simao Coelho , Christophe Leterrier , Ricardo Henriques

Existing super-resolution microscopy is often constrained by inherent trade-offs between resolution, acquisition speed, phototoxicity, and hardware complexity. Computational post-processing approaches offer a promising alternative, but they…

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