Motion Analysis of Live Objects by Super-Resolution Fluorescence Microscopy

Abstract

Motion analysis plays an important role in studing activities or behaviors of live objects in medicine, biotechnology, chemistry, physics, spectroscopy, nanotechnology, enzymology, and biological engineering. This paper briefly reviews the developments in this area mostly in the recent three years, especially for cellular analysis in fluorescence microscopy. The topic has received much attention with the increasing demands in biomedical applications. The tasks of motion analysis include detection and tracking of objects, as well as analysis of motion behavior, living activity, events, motion statistics, and so forth. In the last decades, hundreds of papers have been published in this research topic. They cover a wide area, such as investigation of cell, cancer, virus, sperm, microbe, karyogram, and so forth. These contributions are summarized in this review. Developed methods and practical examples are also introduced. The review is useful to people in the related field for easy referral of the state of the art.

A novel method for automatic single molecule tracking of blinking molecules at low intensities

“…Yoon et al describe a Bayesian-based inference approach to track low intensity and blinking molecules. 49 Recent reviews of methods for cell, particle and molecule tracking were published by Meijering et al 50 and Yao et al 51 For the analysis of the tracks, different approaches have been developed. 39,52 The most common approach is analysis of the mean square displacement at different time intervals 3,[53][54][55] which can readily distinguish between different modes of motion such as normal diffusion, anomalous diffusion, confined diffusion, drift and active transport.…”