The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Automated Spore Measurements Using Microscopy, Image Analysis, and Peak Recognition of Near-Monodisperse Aerosols
Open accessAbstract
Rapid detection of airborne fungal and bacterial spores would enable public agencies to respond quickly and appropriately to intentional releases of hazardous aerosols. Automated analysis of microscope images and automated detection of near-monodisperse peaks in aerosol size distribution data offer complementary approaches to traditional methods for the identification and counting of fungal and bacterial spores. First, spores of the fungus Scopulariopsis brevicaulis were aerosolized in a chamber and then collected with a slit impactor; later, digital microscope images were analyzed manually to determine spore cluster distributions. The images also were analyzed with ImageJ, a program that automatically outlined objects and measured Feret's diameter, area, perimeter, and circularity. These characteristics were used to identify spore clusters automatically using two data analysis methods. Second, a computer program was developed to discriminate near-monodisperse bioaerosol peaks from those for polydisperse ambient particulate matter (PM) and was successfully tested using simulated and real aerosol mixtures. The observed agreement between manual and automated spore counts and the ability to detect spore peaks suggest that it may be possible to develop a system to recognize intentional releases rapidly through examination of particle morphology and size distributions. The peak detection procedure is potentially the fastest technique when used with real-time instrument data, but assumes that intentional releases would consist of large numbers of uniformly sized particles in the respirable size range. Copyright 2012 American Association for Aerosol Research
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Cites
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Wagner, J., Macher, J. M., Chen, W., & Kumagai, K. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192315555 · Cited by 14
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Metadata
- Authors
- Wagner, J., & Macher, J.
- Affiliations
- California Department of Public Health (US)
- ORCID
- Macher, Janet
- Venue
- Aerosol Science and Technology
- Publisher
- Informa UK Limited
- Published
- 2012-08
- Volume
- 46
- Issue
- 8
- Pages
- 862-873
- ISSN
- 0278-6826 (ISSN-L)
- 1521-7388
- OpenAlex
- W2155621065
- Cited by
- 35
- References
- 30
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 3 · 2023: 2 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 4 · 2017: 3 · 2016: 5 · 2015: 2 · 2014: 2 · 2013: 1
- FWCI
- 1.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- public-domain
- Locations
- Aerosol Science and Technology (publishedVersion, public-domain)
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
- Keywords
- spore detection, fungal spores, bacterial spores, bioaerosols, aerosol size distribution, automated image analysis, ImageJ, Feret's diameter, Scopulariopsis brevicaulis, particle morphology
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