Indica
Backed by cutting edge technology, an uncompromising focus on ease-of-use and dedicated customer service, Indica Labs’ software and services are being used to make vital discoveries in pathology labs and research organizations around the world.
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Islet Quantification FL

Islet Quantification FL

 

Product Overview

Indica Labs’ Islet Quantification FL module counts and measures pancreatic islets and classifies cells within each islet. Islet cells can be measured for cytoplasmic and nuclear staining.

In the example above, pancreas sections are probed with DAPI (blue),  anti-insulin antibodies detected with a red fluorophore and anti-Ki67 antibodies detected with a green fluorophore. The module identifies the outer islet boundaries based on insulin positivity.  Cells within the islet boundary are then scored for insulin and Ki67 positivity. In the markup image, insulin-positive beta cells are identified with red cytoplasmic markup, Ki-67 positive cells are identified with green nuclear markup, dual-positive cells have both red and green markup, and cells with no staining have blue nuclear markup.  The software reports number of islets, islet area, number of insulin, Ki-67, and dual-positive cells.

The module can also analyze two cytoplasmic markers, for example insulin and glucagon. In cases where tissues are probed for two islet markers such as glucagon and insulin, the islet boundary can be determined based on positivity for both markers

The Islet Quantification FL  module integrates seamlessly into the   HALO™ platform which is compatible with a number of third party systems and   file formats.

Contact info@indicalab.com for product demonstration and pricing information or  upload some images for a free trial.

Islet Quantification FL

Indica Labs’ Islet Quantification FL module counts and measures pancreatic islets and classifies cells within each islet. Islet cells can be measured for cytoplasmic and nuclear staining.

In the example above, pancreas sections are probed with DAPI (blue),  anti-insulin antibodies detected with a red fluorophore and anti-Ki67 antibodies detected with a green fluorophore. The module identifies the outer islet boundaries based on insulin positivity.  Cells within the islet boundary are then scored for insulin and Ki67 positivity. In the markup image, insulin-positive beta cells are identified with red cytoplasmic markup, Ki-67 positive cells are identified with green nuclear markup, dual-positive cells have both red and green markup, and cells with no staining have blue nuclear markup.  The software reports number of islets, islet area, number of insulin, Ki-67, and dual-positive cells.

The module can also analyze two cytoplasmic markers, for example insulin and glucagon. In cases where tissues are probed for two islet markers such as glucagon and insulin, the islet boundary can be determined based on positivity for both markers.

HALO is compatible with a broad spectrum of image and digital slide formats.  Yours not on the list? Email us your requirements.

Non-proprietary (JPG, TIF)
Nikon (ND2)
3D Histech (MRXS)
Perkin Elmer (QPTIFF, component TIFF)
Olympus (VSI)
Hamamatsu (NDPI, NDPIS)
Aperio (SVS, AFI)
Zeiss (CZI)
Leica (SCN, LIF)
Philips (Requires Philips IMS)

Here are a few publications that cite use of our Islet IHC or FL modules.  Your publication not on the list?  Drop us an email to let us know about it!

Title Author Year Journal
Single-Cell RNAseq Reveals That Pancreatic β-Cells From Very Old Male Mice Have a Young Gene Signature Christopher Daly, Xunbao Duan, and Gavin Thurston 2016 Endocrinology

Use the form below to upload up to three images for us to analyze using HALO.  If the form does not display, please click here.