Improvement of a subviral particle tracker by the use of a LAP-Kalman-algorithm
Automated detection and tracking of subviral particles is a promising method to obtain insights in complicated virus-cell interactions. This paper describes the implementation of a linear assignment problem solver and a Kalman-filter in an existing particle tracking algorithm. Two different simulate...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
De Gruyter
2016-09-01
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| coleção: | Current Directions in Biomedical Engineering |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1515/cdbme-2016-0092 |
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