Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Zafaranieh, S; Kummer, D; van Poppel, MNM; Desoye, G; Huppertz, B.
Automated stereological image analysis approach of the human placenta: Surface areas and vascularization
PLACENTA. 2023; 142: 115-118.
Doi: 10.1016/j.placenta.2023.09.002
Web of Science
PubMed
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- Führende Autor*innen der Med Uni Graz
- Huppertz Berthold
- Zafaranieh Saghi
- Co-Autor*innen der Med Uni Graz
- Desoye Gernot
- Kummer Daniel
- Van Poppel Mireille Nicoline Maria
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- Abstract:
- Detecting and quantifying surface densities of placental villi and their vasculature adds important information on the development of the placenta under different exposures and pathological conditions. Today, a larger number of samples and tissue areas can be examined using automated Artificial Intelligence-based approaches. Although each image series calls for a particular approach, sharing the methods will help in facilitating reproducibility and comparability. Here we show the protocol of a software-based quantification of vessels (number and area) in villous tissues of human placentas, based on scanned images of full-size placental sections.
- Find related publications in this database (Keywords)
- Automated image analysis
- Human placenta
- Surface area
- Vascularization