Method of Synthetic Motion for Testing Single Particle Tracking Microscopes
نویسندگان
چکیده
منابع مشابه
Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking
Conventional tracking solutions are not feasible in handling abrupt motion as they are based on smooth motion assumption or an accurate motion model. Abrupt motion is not subject to motion continuity and smoothness. To assuage this, we deem tracking as an optimisation problem and propose a novel abrupt motion tracker that based on swarm intelligence the SwaTrack. Unlike existing swarm-based fil...
متن کاملAdvanced Bioengineering Methods Laboratory Brownian Motion and Single Particle Tracking
This lab begins with the ground-breaking physics of a century ago demonstrating the atomic nature of matter and ends with today's biophysics state-of-the-art of intracellular transport and molecular motors. The pairing of advanced light microscopy with automated image analysis and particle tracking software provides a powerful tool for investigating the motion of molecules, organelles, and cell...
متن کاملThe single particle tracking system
In an optical tweezers system, the force measurement with a resolution less than pico-Newton can be achieved by precise measurement and analysis of the trapped particle trajectory. Typically, this single particle tracking technique is realized by a quadrant position sensor which detects the scattering lights of the trapping laser beam from the trapped particle. However, as the radius of the tra...
متن کاملSingle particle tracking of correlated bacterial dynamics.
Pattern formation in 3D random media has been a topic of interest in soft matter and biological systems. However, the onset of long-range microscopic ordering has not been explored in randomly moving self-propelled particles due to a lack of model systems as well as local probe techniques. In this article, we report on a novel experiment, using motile Escherichia coli bacteria as a model system...
متن کاملShape and motion driven particle filtering for human body tracking
In this paper, we propose a method to recover 3D human body motion from a video acquired by a single static camera. In order to estimate the complex state distribution of a human body, we adopt the particle filtering framework. We represent the human body using several layers of representation and compose the whole body step by step. In this way, more effective particles are generated and ineff...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biophysical Journal
سال: 2020
ISSN: 0006-3495
DOI: 10.1016/j.bpj.2019.11.3324