Fractal Dimensions of Subviral Particle Movement
The development of new medicines against virus infections like the Marburg virus disease requires an accurate knowledge of the respective pathogens. Conventionally, this process is very time expensive. In cooperation with the Virology of the Philipps-University in Marburg an automatic tracking algor...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2018-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2018-0020 |
| _version_ | 1797740427146690560 |
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| author | Rausch Andreas Schanze Thomas |
| author_facet | Rausch Andreas Schanze Thomas |
| author_sort | Rausch Andreas |
| collection | DOAJ |
| description | The development of new medicines against virus infections like the Marburg virus disease requires an accurate knowledge of the respective pathogens. Conventionally, this process is very time expensive. In cooperation with the Virology of the Philipps-University in Marburg an automatic tracking algorithm for subviral particles in fluorescence image sequences was developed and programmed. To expand the benefit for the pharmaceutical researchers, also the trackevaluations need to be widely automated. In this work, a new parameterizing-method facing the fractal dimensions of spline interpolated subviral particle tracks is presented and tested with simulated and real data. The results reveal a good potential to classify tracks and, thus, types of subviral particles in infected cells. |
| first_indexed | 2024-03-12T14:12:18Z |
| format | Article |
| id | doaj.art-13a0bcf8924a4eb89aa6a18c18976aad |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-03-12T14:12:18Z |
| publishDate | 2018-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-13a0bcf8924a4eb89aa6a18c18976aad2023-08-21T06:42:01ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042018-09-0141798210.1515/cdbme-2018-0020cdbme-2018-0020Fractal Dimensions of Subviral Particle MovementRausch Andreas0Schanze Thomas1Technische Hochschule Mittelhessen (THM), FB Life Science Engineering (LSE),Institut für Biomedizinische Technik (IBMT), Wiesenstr. 14, 35390Gießen, GermanyInstitut für Biomedizinische Technik (IBMT), 35390Gießen, GermanyThe development of new medicines against virus infections like the Marburg virus disease requires an accurate knowledge of the respective pathogens. Conventionally, this process is very time expensive. In cooperation with the Virology of the Philipps-University in Marburg an automatic tracking algorithm for subviral particles in fluorescence image sequences was developed and programmed. To expand the benefit for the pharmaceutical researchers, also the trackevaluations need to be widely automated. In this work, a new parameterizing-method facing the fractal dimensions of spline interpolated subviral particle tracks is presented and tested with simulated and real data. The results reveal a good potential to classify tracks and, thus, types of subviral particles in infected cells.https://doi.org/10.1515/cdbme-2018-0020image processingparameterizingfractal dimensionssubviral particlestrackingmarburg virusebola virus |
| spellingShingle | Rausch Andreas Schanze Thomas Fractal Dimensions of Subviral Particle Movement Current Directions in Biomedical Engineering image processing parameterizing fractal dimensions subviral particles tracking marburg virus ebola virus |
| title | Fractal Dimensions of Subviral Particle Movement |
| title_full | Fractal Dimensions of Subviral Particle Movement |
| title_fullStr | Fractal Dimensions of Subviral Particle Movement |
| title_full_unstemmed | Fractal Dimensions of Subviral Particle Movement |
| title_short | Fractal Dimensions of Subviral Particle Movement |
| title_sort | fractal dimensions of subviral particle movement |
| topic | image processing parameterizing fractal dimensions subviral particles tracking marburg virus ebola virus |
| url | https://doi.org/10.1515/cdbme-2018-0020 |
| work_keys_str_mv | AT rauschandreas fractaldimensionsofsubviralparticlemovement AT schanzethomas fractaldimensionsofsubviralparticlemovement |