Abstract
Human beings are exposed every day to bio-aerosols in the various fields of their personal and/or professional daily life. The European Commission has rules protecting employees in the workplace from biological hazards. Airborne fungi can be detected and identified by an image-acquisition and interpretation system. In this paper we present recent results on the development of an automated image acquisition, probe handling and image-interpretation system for airborne fungi identification. We explain the application domain and describe the development issues. The development strategy and the architecture of the system are described and some results are presented. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Sklarczyk, C., Perner, H., Rieder, H., Arnold, W., & Perner, P. (2007). Image acquisition and analysis of hazardous biological material in air. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4826 LNAI, pp. 1–14). Springer Verlag. https://doi.org/10.1007/978-3-540-76300-0_1
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