Evaluation of Approaches for Tracking Virus Particles in Fluorescence Microscopy Images
نویسندگان
چکیده
Tracking virus particles in fluorescence microscopy image sequences enables the characterization of the dynamical behavior of these objects. Several approaches have been developed for the task of virus tracking. However, few studies have quantitatively evaluated the performance of the different approaches. Such a comparison is essential to predict the performance of the approaches under realistic conditions. In this paper, we present a quantitative evaluation of eight approaches for tracking virus particles. We have investigated deterministic and probabilistic approaches. The evaluation is based on nine real microscopy image sequences of virus particles, for which ground truth was obtained by manual tracking.
منابع مشابه
Probabilistic Tracking of Virus Particles in Fluorescence Microscopy Image Sequences
Fluorescence time-lapse microscopy is a powerful technique for observing the spatial-temporal behavior of viruses. To quantitatively analyze the exhibited dynamical relationships, tracking of viruses over time is required. We developed probabilistic approaches based on particle filters for tracking multiple virus particles in time-lapse fluorescence microscopy images. We employed a mixture of p...
متن کاملDeterministic and probabilistic approaches for tracking virus particles in time-lapse fluorescence microscopy image sequences
Modern developments in time-lapse fluorescence microscopy enable the observation of a variety of processes exhibited by viruses. The dynamic nature of these processes requires the tracking of viruses over time to explore spatial-temporal relationships. In this work, we developed deterministic and probabilistic approaches for multiple virus tracking in multi-channel fluorescence microscopy image...
متن کاملTracking single particles: a user-friendly quantitative evaluation.
As our knowledge of biological processes advances, we are increasingly aware that cells actively position sub-cellular organelles and other constituents to control a wide range of biological processes. Many studies quantify the position and motion of, for example, fluorescently labeled proteins, protein aggregates, mRNA particles or virus particles. Both differential interference contrast (DIC)...
متن کاملParticle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images: Application to Microtubule Growth Analysis
Quantitative analysis of dynamic processes in living cells by means of fluorescence microscopy imaging requires tracking of hundreds of bright spots in noisy image sequences. Deterministic approaches, which use object detection prior to tracking, perform poorly in the case of noisy image data. We propose an improved, completely automatic tracker, built within a Bayesian probabilistic framework....
متن کاملDynamic 3d Particle Tracking Deep inside Living Tissue
Sensitive detections methods allow tracking of individual fluorescently labelled particles with nanometer localization accuracy. Such single particle tracking (SPT) can reveal mechanistic behaviour in inhomogeneous environments that cannot be resolved by bulk averaging. However, common SPT techniques are limited to the focal plane of the instrument. Several approaches allow encoding 3D informat...
متن کامل