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Journal / Bioengineering / Automated Slide Scanning and Segmentation in…
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Bioengineering

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

Article DOI: 10.3791/57440-v • 09:33 min • May 3rd, 2018
May 3rd, 2018 •
1, 2, 1, *1,3, *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
* These authors contributed equally

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Summary
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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.

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Automated Slide Scanning Segmentation Fluorescently-labeled Tissues Widefield High-content Analysis System Imaging And Analysis Method Workflow Automatic Segmentation Protein Quantification Tissue Sample Time Optimization Protocols Brain Tissue Magnification Camera Settings Experimental Settings
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