Visualization and Parametrization of the Motion Behaviour of Subviral Particles

Current Directions in Biomedical Engineering

Müller Dennis¹  Schanze Thomas¹  Rausch Andreas¹  Kaak Michelle² 

[1] IBMT, FB LSE, Technische Hochschule Mittelhessen (THM),Gießen, Germany;IBMT, FB LSE. Technische Hochschule Mittelhessen (THM), Wiesenstraße 14,Gießen, Germany;

关键词: fluorescence microscopy;    subviral particles;    movement patterns;   

DOI  :  10.1515/cdbme-2018-0086

来源: DOAJ

【 摘 要 】

The development of a drug against pathogens of hemorrhagic fever, like the Marburg virus, is a great challenge. Therefore, accurate knowledge of the properties of subviral particles in the host cell must be obtained. The base for subviral particle analysis is a special fluorescence microscopy technique. In order to automate and visualize the subviral particles’ motion patterns, previously a tracking algorithm was developed. In this article a new algorithm to parameterize and visualize the achieved particle tracks is introduced. A good potential for a fast data recognition is shown, with constantly respecting a high usability for pharmaceutical researchers. This algorithm was tested on both simulated and real data and provides reproducible results.

【 授权许可】

Unknown