Detect and measure pancreatic islets and islet cells in fluorescent images with the HALO® Islet Quantification FL module. This module quantifies islets and their total and average area along with measuring nuclear or cytoplasmic positivity and total area for up to three dyes. Get more insight into your biomarker colocalization analysis with the option to output both cell and area markup images.
Try it out! Click here to initiate your free proof-of-concept HALO image analysis.
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 |
Related HALO Modules
Quantify expression of an unlimited number of biomarkers in any cellular compartment - membrane, nucleus or cytoplasm.
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Separate multiple tissue classes across a tissue using a learn-by-example approach. Can be used in conjunction with all other modules (fluorescent and brightfield) to select specific tissue classes for further analysis.
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Quantify the area, diameter, perimeter, and number of white spaces per region of interest in brightfield images. Ideally suited for analysis of lipids in brown and white adipose tissue, lipid droplets in liver tissue (steatosis), and alveoli area in lung.
Learn MoreUse the arrows above to view additional related modules
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