The Islet Quantification module counts and measures pancreatic islets and classifies cells within each islet. Islet cells can be measured for cytoplasmic and/or nuclear positivity for up to two stains.
In addition to measuring cytoplasmic positivity, this tool can also be configured to detect positivity within islet nuclei as shown in the second example. Here, proliferating beta cells are identified as dual positive for insulin (red stain) and Ki67 (brown nuclear stain). Insulin positive cells are marked red in the cytoplasm and Ki67 positive cells are marked green in the nucleus.
The module reports islet counts, and islet measurements (diameter & area), islet cell counts (beta cells, positive cells, dual positive cells, and negative cells), and a histogram of islet frequency by diameter ranges.
File formats supported by the HALO image analysis platform:
- Non-proprietary (JPG, TIF, OME.TIFF)
- Nikon (ND2)
- 3D Histech (MRXS)
- Akoya (QPTIFF, component TIFF)
- Olympus / Evident (VSI)
- Hamamatsu (NDPI, NDPIS)
- Aperio (SVS, AFI)
- Zeiss (CZI)
- Leica (SCN, LIF)
- Ventana (BIF)
- Philips (iSyntax, i2Syntax)
- KFBIO (KFB, KFBF)
- DICOM (DCM*)
*whole-slide images
Publication Spotlight
The table below includes publications that cite the Islet IHC or FL modules.
Your publication not on the list? Drop us an email to let us know about it!
| Title | Authors | Year | Journal | Application | HALO Modules |
|---|---|---|---|---|---|
| Single-Cell RNAseq Reveals That Pancreatic β-Cells From Very Old Male Mice Have a Young Gene Signature | Xin Y, Kim J, Okamoto H, Ni M, Wei Y, Adler C, Murphy AJ, Yancopoulos GD, Lin C, Gromada J | 2016 | Endocrinology | Metabolism | Islet |
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