Islet Quantification
Islet Quantification - Related Videos
16:59
Computer-assisted Large-scale Visualization and Quantification of Pancreatic Islet Mass, Size Distribution and Architecture
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Cited by 14 •
2011
Novel computer-assisted methods of large-scale procurement and analysis of immunohistochemically stained pancreatic specimens are described: (1) Virtual Slice capture of the entire section; (2) Mass analysis of large-scale data; (3) Reconstruction of 2D Virtual Slices; (4) 3D islet mapping; and (5) Mathematical analysis.
03:33
Grafting Pancreatic Islets: A Method to Implant Pancreatic Islets into the Anterior Chamber of the Mouse Eye for In Vivo Imaging
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2023
This video describes the protocol for grafting human pancreatic islets into the anterior chamber of the mouse’s eye to monitor revascularization of human islet grafts in vivo. It also helps to understand the contribution of recipient versus donor cells in promoting the encapsulation and vascularization of the graft.
07:21
Pancreatic Islets Isolation through Collagenase Perfusion: An Enzymatic Method to Isolate Pancreatic Islet Cells
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2023
Pancreatic islets, also called the Islets of Langerhans, are a cluster of endocrine cells which produces hormones for glucose regulation and other important biological functions. This protocol explains a method for isolating pancreatic islets by first perfusing collagenase via Ampulla of Vater to digest the exocrine pancreatic tissue and a simplified density gradient centrifugation to purify the islets from mice.
03:48
Murine Model of Islet Transplantation: A Surgical Method to Infuse Pancreatic Islets in Portal Vein and Prevention of Postoperative Bleeding
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2025
In this video, we describe a procedure to infuse pancreatic islet cells into the hepatic portal vein, followed by application of gel foam to successfully prevent bleeding. Postoperative bleeding is a common cause of high mortality during islet transplantation.
07:04
Effective Isolation of Functional Islets from Neonatal Mouse Pancreas
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Cited by 19 •
2017
We describe a protocol herein for isolating intact islets from neonatal mice. Pancreata were partially digested with collagenase, followed by washing and hand picking. 20 - 80 islet clusters can be obtained per pancreas from newly born mice, which are suitable for several islet studies.
FAQs
Marker selection determines what an analysis can measure. Islet markers help identify the boundaries of endocrine structures, whereas hormone markers reveal cellular composition within those boundaries. Consequently, the same tissue sample can support structural measurements and cell-type comparisons, but interpretation depends on which labels were applied and how consistently the boundaries were recognized.
Sampling and normalization reduce bias caused by uneven tissue representation or differences in sample size. Researchers can compare measurements more meaningfully when sections are selected consistently and values are related to an appropriate tissue or image basis. Without these controls, apparent differences in islet abundance, distribution, or size may reflect measurement conditions rather than biological variation.
Each metric describes a different aspect of endocrine pancreas structure. Islet counts indicate abundance, area reflects the amount of tissue occupied by identified islets, and density relates islet measurements to the sampled tissue. Distribution and volume provide additional spatial or three-dimensional context when supported by the sampling and imaging approach, so no single metric captures every structural change.
Manual analysis relies on researcher recognition of islet boundaries, while automated analysis applies image-analysis procedures to identify and measure them. Automation can support consistent processing across many images, whereas manual review may remain important when boundaries or labeling patterns are difficult to interpret. In either approach, marker quality, sampling, and consistent measurement rules influence the comparison.
A typical workflow progresses from preparing pancreatic tissue sections to applying islet or hormone labels, acquiring microscopy images, identifying islet boundaries, and calculating selected measurements. Researchers then normalize or summarize the results so samples can be compared. The workflow should match the intended outcome, such as abundance, size, distribution, or cellular composition.
It is useful when researchers need to compare endocrine pancreas structure across developmental stages, genotypes, treatments, or disease states. Measurements can reveal changes in islet abundance, size, distribution, or cellular composition that are not captured by a general tissue description. This makes the approach relevant to studies of pancreatic development and diabetes-related remodeling.
In diabetes research, structural measurements can help assess islet loss or remodeling across disease states or experimental treatments. In transplantation studies, the same measurements provide a way to characterize experimental islet material and compare structural outcomes. Because the method links microscopy observations with standardized measurements, it supports evaluation across samples rather than relying only on visual impressions.