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Computer-assisted Large-scale Visualization and Quantification of Pancreatic Islet Mass, Size Distribution and Architecture

12.2K Views

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16:59 min

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March 4th, 2011

DOI :

March 4th, 2011

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Abraham Kim¹, German Kilimnik¹, Charles Guo¹, Joshua Sung¹, Junghyo Jo², Vipul Periwal², Piotr Witkowski³, Philip Dilorio⁴, Manami Hara¹

¹Department of Medicine, University of Chicago, ²Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, ³Department of Surgery, University of Chicago, ⁴Diabetes Division, University of Massachusetts

Summary

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.

Chapters in this video

0:05

Title

1:08

Introduction

2:00

The Creation of Virtual Slices of Immunohistochemically Stained Images

4:15

Computer-Assisted Two-Dimensional Analysis

5:42

Three-Dimensional Reconstruction of Two Dimensional Immunohistochemically Stained Virtual Slice Images

7:25

Islet Mapping: Collecting Image Stacks

10:21

Islet Mapping: Mapping Image Stacks

12:36

Representative Results for the Large-Scale Visualization and Quantification of Pancreatic Islet Mass, Size Distribution and Architecture

15:47

Conclusion

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