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Related papers: Localization microscopy: a review of the progress …

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The ability to measure polarisation, spectrum, temporal dynamics, and spatial amplitude and phase of optical beams is essential to study fundamental phenomena in laser dynamics, telecommunications and nonlinear optics. Current…

Estimating depth from RGB images can facilitate many computer vision tasks, such as indoor localization, height estimation, and simultaneous localization and mapping (SLAM). Recently, monocular depth estimation has obtained great progress…

Computer Vision and Pattern Recognition · Computer Science 2020-11-10 Qing Li , Jiasong Zhu , Jun Liu , Rui Cao , Qingquan Li , Sen Jia , Guoping Qiu

In Ultrasound Localization Microscopy (ULM), achieving high-resolution images relies on the precise localization of contrast agent particles across a series of beamformed frames. However, our study uncovers an enormous potential: The…

Computational Geometry · Computer Science 2024-04-09 Christopher Hahne , Georges Chabouh , Arthur Chavignon , Olivier Couture , Raphael Sznitman

MINFLUX microscopy allows for localization of fluorophores with nanometer precision using targeted scanning with an illumination profile with a minimum. However, current scanning patterns and the overall procedure are based on heuristics,…

Computational Physics · Physics 2026-04-17 Steffen Schultze , Helmut Grubmüller

Super-resolution microscopy has catalyzed valuable insights into the sub-cellular, mechanistic details of many different biological processes across a wide range of cell types. Fluorescence polarization spectroscopy tools have also enabled…

Biological Physics · Physics 2023-01-25 Jack W Shepherd , Alex L Payne-Dwyer , Ji-Eun Lee , Aisha Syeda , Mark C Leake

Rapid growth in the field of quantitative digital image analysis is paving the way for researchers to make precise measurements about objects in an image. To compute quantities from the image such as the density of compressed materials or…

Computer Vision and Pattern Recognition · Computer Science 2017-07-31 Marylesa Howard , Margaret C. Hock , B. T. Meehan , Leora Dresselhaus-Cooper

Widefield stochastic microscopy techniques such as PALM or STORM rely on the progressive accumulation of a large number of frames, each containing a scarce number of super-resolved point images. We justify that the redundancy in the…

Biological Physics · Physics 2017-10-11 Jean-Francois Rupprecht , Ariadna Martinez-Marrades , Rishita Changede , Gilles Tessier

Super-resolution light microscopy overcomes the physical barriers due to light diffraction, allowing for the observation of otherwise indistinguishable subcellular entities. However, the specific acquisition conditions required by…

Point-wise localization of individual fluorophores is a critical step in super-resolution microscopy and single particle tracking. Although the methods are limited by the accuracy in localizing individual flourophores, this point-wise…

Biological Physics · Physics 2017-05-08 Martin Lindén , Vladimir Ćurić , Elias Amselem , Johan Elf

Localization-based imaging has revolutionized fluorescence optical microscopy and has also enabled unprecedented ultrasound images of microvascular structures in deep tissues. Herein, we introduce a new concept of localization optoacoustic…

Optics · Physics 2017-07-10 Xose Luis Dean-Ben , Daniel Razansky

Traceability to the International System of Units (SI) is fundamental to measurement accuracy and reliability. In this study, we demonstrate subnanometer traceability of localization microscopy, establishing a metrological foundation for…

Super-resolution microscopy has revolutionized the fields of chemistry and biology by resolving features at the molecular level. Such techniques can be either "stochastic," gaining resolution through precise localization of point source…

Quantum Gases · Physics 2019-04-09 Mickey McDonald , Jonathan Trisnadi , Kai-Xuan Yao , Cheng Chin

Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation, automated analysis of dermoscopy images has…

Computer Vision and Pattern Recognition · Computer Science 2010-09-08 M. Emre Celebi , Hitoshi Iyatomi , Gerald Schaefer , William V. Stoecker

Deep learning based localization and mapping approaches have recently emerged as a new research direction and receive significant attentions from both industry and academia. Instead of creating hand-designed algorithms based on physical…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Changhao Chen , Bing Wang , Chris Xiaoxuan Lu , Niki Trigoni , Andrew Markham

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,…

Microscopy image enhancement plays a pivotal role in understanding the details of biological cells and materials at microscopic scales. In recent years, there has been a significant rise in the advancement of microscopy image enhancement,…

Image and Video Processing · Electrical Eng. & Systems 2025-09-29 Debasish Dutta , Neeharika Sonowal , Risheraj Barauh , Deepjyoti Chetia , Sanjib Kr Kalita

Fluorescence microscopy is an important and extensively utilised tool for imaging biological systems. However, the image resolution that can be obtained has a limit as defined through the laws of diffraction. Demand for improved resolution…

Biological Physics · Physics 2007-08-27 James H. Rice

Modulation-enhanced localization microscopy (MELM) has demonstrated significant improvements in both lateral and axial localization precision compared to conventional single-molecule localization microscopy (SMLM). However, lateral…

The polarization of light conveys crucial information about the spatial ordering and optical properties of a specimen. However, precise polarization measurement in challenging conditions, including constrained spaces, low light levels, and…

Optics · Physics 2026-03-10 Martin Bielak , Dominik Vašinka , Miroslav Ježek

Deep learning based localization and mapping has recently attracted significant attention. Instead of creating hand-designed algorithms through exploitation of physical models or geometric theories, deep learning based solutions provide an…

Computer Vision and Pattern Recognition · Computer Science 2020-07-01 Changhao Chen , Bing Wang , Chris Xiaoxuan Lu , Niki Trigoni , Andrew Markham