Comparing human and algorithmic tracking of subviral particles in fluorescence microscopic image sequences

Comparing human and algorithmic tracking of subviral particles in fluorescence microscopic image sequences

Tracking of subviral particles with automated methods enables the analysis of intracellular processes exhibited by viruses. A linear assignment problem solver and a Kalman-filter have been added to an existing particle tracking algorithm. First results produced with simulated image sequences showed...

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Bibliographic Details
Main Authors: Müller Dennis, Rausch Andreas, Dolnik Olga, Schanze Thomas
Format: Article
Language:English
Published: De Gruyter 2017-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
fluorescence microscopy
subviral particles
tracking
detection
evaluation
Online Access:https://doi.org/10.1515/cdbme-2017-0114

Internet

https://doi.org/10.1515/cdbme-2017-0114

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