scispace - formally typeset
Book ChapterDOI

Methods for cell and particle tracking.

TLDR
The latest developments in computerized image analysis are surveyed and the various computational approaches, software tools, and quantitative measures for tracking and motion analysis of cells and particles in time-lapse microscopy images are discussed.
Abstract
Achieving complete understanding of any living thing inevitably requires thorough analysis of both its anatomic and dynamic properties. Live-cell imaging experiments carried out to this end often produce massive amounts of time-lapse image data containing far more information than can be digested by a human observer. Computerized image analysis offers the potential to take full advantage of available data in an efficient and reproducible manner. A recurring task in many experiments is the tracking of large numbers of cells or particles and the analysis of their (morpho)dynamic behavior. In the past decade, many methods have been developed for this purpose, and software tools based on these are increasingly becoming available. Here, we survey the latest developments in this area and discuss the various computational approaches, software tools, and quantitative measures for tracking and motion analysis of cells and particles in time-lapse microscopy images.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Tumor-Residing Batf3 Dendritic Cells Are Required for Effector T Cell Trafficking and Adoptive T Cell Therapy.

TL;DR: The data indicate that lack of CD103+ DCs within the tumor microenvironment dominantly resists the effector phase of an anti-tumor T cell response, contributing to immune escape.
Journal ArticleDOI

In the right place at the right time: visualizing and understanding mRNA localization

TL;DR: The emerging movements and localization patterns of mRNAs in morphologically distinct unicellular organisms and in neurons have illuminated shared and specialized mechanisms of mRNA localization, and this information is complemented by transgenic and biochemical techniques that reveal the biological consequences of mRNA mislocalization.
Journal ArticleDOI

Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

TL;DR: A comprehensive summary of the recent state-of-the-art nucleus/cell segmentation approaches on different types of microscopy images including bright-field, phase-contrast, differential interference contrast, fluorescence, and electron microscopies is provided.
References
More filters
Journal ArticleDOI

CellProfiler: image analysis software for identifying and quantifying cell phenotypes

TL;DR: The first free, open-source system designed for flexible, high-throughput cell image analysis, CellProfiler is described, which can address a variety of biological questions quantitatively.
Journal ArticleDOI

Methods of Digital Video Microscopy for Colloidal Studies

TL;DR: In this article, a set of image processing algorithms for extracting quantitative data from digitized video microscope images of colloidal suspensions is described, which can locate submicrometer spheres to within 10 nm in the focal plane and 150 nm in depth.
Journal ArticleDOI

SINGLE-PARTICLE TRACKING: Applications to Membrane Dynamics

TL;DR: Measurements of trajectories of individual proteins or lipids in the plasma membrane of cells show a variety of types of motion, including directed motion, confined motion, and anomalous diffusion, which requires a revision of existing views of membrane structure and dynamics.
Journal ArticleDOI

Robust single-particle tracking in live-cell time-lapse sequences.

TL;DR: This approach shows that the GTPase dynamin differentially affects the kinetics of long- and short-lived endocytic structures and that the motion of CD36 receptors along cytoskeleton-mediated linear tracks increases their aggregation probability.
Journal ArticleDOI

Feature point tracking and trajectory analysis for video imaging in cell biology

TL;DR: A computationally efficient, two-dimensional, feature point tracking algorithm for the automated detection and quantitative analysis of particle trajectories as recorded by video imaging in cell biology.
Related Papers (5)