JoVE Journal

Bioengineering

This content is Open Access.

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System

8.1K Views

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09:33 min

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May 3rd, 2018

DOI :

10.3791/57440-v

May 3rd, 2018

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Candice C. Poon¹, Vincent Ebacher², Katherine Liu¹, Voon Wee Yong*¹^,³, John James Patrick Kelly*¹

¹Department of Clinical Neurosciences, Arnie Charbonneau Cancer Institute, University of Calgary, ²Department of Cell Biology and Anatomy, Hotchkiss Brain Institute, University of Calgary, ³Department of Oncology, Hotchkiss Brain Institute, University of Calgary

Summary

Here we describe a protocol for the automated segmentation of fluorescently labeled tissues on slides using a widefield high-content analysis system (WHCAS). This protocol has wide-ranging applications in any field which involves the quantitation of fluorescent markers in biological tissues including the biological sciences, medical engineering, and health sciences.

Explore More Videos

Automated Slide Scanning

Fluorescently labeled Tissues

Widefield High content Analysis System

Tissue Segmentation

Protein Quantification

Fluorescent Microscopy

Image based Focusing

Automated Segmentation Workflow

Chapters in this video

0:04

Title

0:51

Preview Scan and High Magnification Setup

2:51

Preview Scan and High Magnification Image Acquisition

7:54

Results: Representative Images and Analyses

9:06

Conclusion

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