PlanktoVision - an automated analysis system for the identification of phytoplankton
- Phytoplankton communities are often used as a marker for the determination of fresh water quality. The routine analysis, however, is very time consuming and expensive as it is carried out manually by trained personnel. The goal of this work is to develop a system for an automated analysis.
| URN: | urn:nbn:de:kobv:526-opus4-6364 |
|---|---|
| Publisher DOI: | https://doi.org/10.1186/1471-2105-14-115 |
| Author: | Katja Schulze, Ulrich M. TillichGND, Thomas DandekarORCiDGND, Marcus FrohmeORCiDGND |
| ISSN: | 1471-2105 |
| Parent Title (English): | BMC Bioinformatics |
| Document Type: | Article |
| Language: | English |
| Year of Publication: | 2013 |
| Volume: | 14 |
| Issue: | 115 |
| Page Number: | 10 |
| Faculties an central facilities: | Fachbereich Ingenieurwesen / Wirtschaftsingenieurwesen (bis 8/2014) |
| Publishing Institution: | Technische Hochschule Wildau |
| Source: | Schulze et al.: PlanktoVision–an automated analysissystem for the identification of phytoplankton. BMC Bioinformatics 2013 14:115. |
| Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie |
| Licence (German): | Creative Commons - CC BY - Namensnennung 2.0 Generic |
| Release Date: | 2016/07/05 |



