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Related papers: Perspective: An outlook on fluorescence tracking

200 papers

Tracking cells in time-lapse videos is an essential technique for monitoring cell population dynamics at a single-cell level. Current methods for cell tracking are developed on videos with mostly single, constant signals and do not detect…

Computer Vision and Pattern Recognition · Computer Science 2025-12-17 Florian Bürger , Martim Dias Gomes , Nica Gutu , Adrián E. Granada , Noémie Moreau , Katarzyna Bozek

High-speed tracking of single particles is a gateway to understanding physical, chemical, and biological processes at the nanoscale. It is also a major experimental challenge, particularly for small, nanometer-scale particles. Although…

In Real-Time, Feedback-Driven Single Particle Tracking methods, measurements of the emission intensity from a labeled, nanometer-scale particle are used in a feedback loop to track the motion of the particle as it moves inside its native…

Optics · Physics 2025-12-03 Md Faysal Hossain , Sean B. Andersson

The detection of fluorescence with submolecular resolution enables the exploration of spatially varying photon yields and vibronic properties at the single-molecule level. By placing individual polycyclic aromatic hydrocarbon molecules into…

Mesoscale and Nanoscale Physics · Physics 2018-08-01 Jörg Kröger , Benjamin Doppagne , Fabrice Scheurer , Guillaume Schull

Despite significant advances in particle imaging technologies over the past two decades, few advances have been made in particle tracking, i.e. linking individual particle positions across time series data. The state-of-the-art tracking…

Soft Condensed Matter · Physics 2022-01-25 Ella M. King , Zizhao Wang , David A. Weitz , Frans Spaepen , Michael P. Brenner

Object pose detection and tracking has recently attracted increasing attention due to its wide applications in many areas, such as autonomous driving, robotics, and augmented reality. Among methods for object pose detection and tracking,…

Computer Vision and Pattern Recognition · Computer Science 2022-04-22 Zhaoxin Fan , Yazhi Zhu , Yulin He , Qi Sun , Hongyan Liu , Jun He

Motion models (i.e., transition probability densities) are often deduced from fluorescence widefield tracking experiments by analyzing single-particle trajectories post-processed from data. This analysis immediately raises the question: To…

Biological Physics · Physics 2025-07-29 Zachary H. Hendrix , Lance W. Q. Xu , Steve Pressé

Fluorescence microscopy is indispensable in nanoscience and biological sciences. The versatility of labeling target structures with fluorescent dyes permits to visualize structure and function at a subcellular resolution with a wide field…

FRET-based approaches are a unique tool for sensing the immediate surroundings and interactions of (bio)molecules. FRET imaging and FLIM (Fluorescence Lifetime Imaging Microscopy) enable the visualization of the spatial distribution of…

Understanding human-object interactions is fundamental in First Person Vision (FPV). Tracking algorithms which follow the objects manipulated by the camera wearer can provide useful cues to effectively model such interactions. Visual…

Computer Vision and Pattern Recognition · Computer Science 2022-05-10 Matteo Dunnhofer , Antonino Furnari , Giovanni Maria Farinella , Christian Micheloni

In a stochastic reaction network setting we consider the problem of tracking the fate of individual molecules. We show that using the classical large volume limit results, we may approximate the dynamics of a single tracked molecule in a…

Probability · Mathematics 2023-01-05 Daniele Cappelletti , Grzegorz A. Rempala

Multiple Object Tracking (MOT) has gained increasing attention due to its academic and commercial potential. Although different approaches have been proposed to tackle this problem, it still remains challenging due to factors like abrupt…

Computer Vision and Pattern Recognition · Computer Science 2022-02-14 Wenhan Luo , Junliang Xing , Anton Milan , Xiaoqin Zhang , Wei Liu , Tae-Kyun Kim

Over the last decade, single-molecule optical microscopy has become the gold-standard approach to decipher complex molecular processes in cellular environments. [1-3] Single-molecule fluorescence microscopy has several advantages such as…

Biological Physics · Physics 2017-11-15 Edakkattuparambil Sidharth Shibu , Nadezda Varkentina , Laurent Cognet , Brahim Lounis

Microscopy imaging plays a vital role in understanding many biological processes in development and disease. The recent advances in automation of microscopes and development of methods and markers for live cell imaging has led to rapid…

Computer Vision and Pattern Recognition · Computer Science 2017-05-10 Saad Ullah Akram , Juho Kannala , Lauri Eklund , Janne Heikkilä

In the realm of fundamental quantum science and technologies, non-classical states of light, such as single-photon Fock states, are widely studied. However, current standards and metrological procedures are not optimized for low light…

Visual object tracking is a significant computer vision task which can be applied to many domains such as visual surveillance, human computer interaction, and video compression. In the literature, researchers have proposed a variety of 2D…

Computer Vision and Pattern Recognition · Computer Science 2013-03-21 Xi Li , Weiming Hu , Chunhua Shen , Zhongfei Zhang , Anthony Dick , Anton van den Hengel

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,…

The combination of different imaging modalities into single imaging platforms has a strong potential in biomedical sciences since it permits the analysis of complementary properties of the target sample. Here, we report on an extremely…

Optics · Physics 2025-01-17 David Alonso , Javier Garcia , Vicente Mico

X-ray phase-contrast imaging offers enhanced sensitivity for weakly-attenuating materials, such as breast and brain tissue, but has yet to be widely implemented clinically due to high coherence requirements and expensive x-ray optics.…

Medical Physics · Physics 2023-05-04 Serena Qinyun Z. Shi , Nadav Shapira , Peter B. Noël , Sebastian Meyer

We propose an object tracking method, SFTrack++, that smoothly learns to preserve the tracked object consistency over space and time dimensions by taking a spectral clustering approach over the graph of pixels from the video, using a fast…

Computer Vision and Pattern Recognition · Computer Science 2021-11-05 Elena Burceanu