IF Cell Culture - Osteoclast
Segment nuclei, identify multinucleated osteoclasts, and quantify cell number, nuclei per osteoclast, osteoclast area, and marker intensity within osteoclasts.
bone research, osteoclast, multinucleated cells, bone adsoprtion
The IF Cell Culture - Osteoclast App allows segmentation of nuclei, the identification of cultured multinucleated osteoclasts (stained by a specific marker) and if wanted the quantification of one or two additonal markers. The App outputs the number of detected cells, osteoclasts and nuclei per osteoclast as well as the area of osteoclasts and intensity of markers within the osteoclasts.
Heindl, A. et al. (2016). Toward the Automated Detection and Characterization of Osteoclasts in Microscopic Images. In: Pietschmann, P. (eds) Principles of Osteoimmunology. Springer, Cham. https://doi.org/10.1007/978-3-319-34238-2_2
Prof. Peter Pietschmann & Isabella Ellinger
Original Image
Nuclei detection
Osteoclast detection
Application Note
14 Oct, 2024
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We support the following file formats:
- TissueFAXS (aqproj)
- StrataFAXS II (vmic)
- PreciPoint (vmic, gtif)
- Generic BigTIFF Import
- Support for multipage BigTIFF files
- OME-TIFF
- JPEG, PNG, BMP, TIFF
- Zeiss (czi)
- Hamamatsu NanoZoomer (ndpi)
- Aperio (svs)
- Leica (scn)
- 3D HISTECH Pannoramic
- Mirax (mrxs)
- Olympus (vsi)
- More slide scanners to be added!
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