Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
Mairinger, T; Gschwendtner, A; Toetsch, M; Prior, C; Fend, F.
Automated cell differentiation of bronchoalveolar lavage samples with two-step image analysis
ANAL QUANT CYTOL HISTOL. ANALYTICAL AND QUANTITATIVE CYTOLOGY AND HISTOLOGY; 18: 453-460.
Web of Science
PubMed
- Co-Autor*innen der Med Uni Graz
- Tötsch Martin
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- Abstract:
- OBJECTIVE: To establish an easy method for performing an automated differential cell count on bronchoalveolar lavage (BAL) cytocentrifuge samples using morphometric parameters acquired by It digital image analyzer. STUDY DESIGN: The study population comprised 20 satisfactory cytocentrifuge preparations routinely processed in our laboratory. Images of at least 40 fields of interest were digitized and stored. The images were analyzed to assess the planimetric parameters. These were used for cell identification. Basic morphometric parameters were acquired by an automated image analysis procedure. The results obtained by this method are compared to those of the manual counting procedure. RESULTS: Following sequential analysis, computerized identification corresponded, in > 97% of the cells, to the results of manual cell typing. After data analysis, < 1% of cells remained unidentifiable. CONCLUSION: Although the number of specimens evaluated is not yet large enough to allow a definitive statement, the use gf image analysis systems seems a promising approach in automated differential cell counting in BAL preparations.
- Find related publications in this database (using NLM MeSH Indexing)
- Bronchoalveolar Lavage Fluid - cytology
- Granulocytes - classification
- Humans -
- Image Processing, Computer-Assisted -
- Lymphocytes - classification
- Macrophages - classification
- Find related publications in this database (Keywords)
- bronchoalveolar lavage
- image analysis, computer-assisted
- morphometry