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

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

DOI:
10.3791/57440-v

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09:33 min

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May 03, 2018

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, , , ,
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

Capitoli

  • 00:04Titolo
  • 00:51Preview Scan and High Magnification Setup
  • 02:51Preview Scan and High Magnification Image Acquisition
  • 07:54Results: Representative Images and Analyses
  • 09:06Conclusion

Summary

Traduzione automatica

Traduzione automatica

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.

Tags

Automated Slide ScanningWidefield High-content Analysis SystemProtein QuantificationFluorescent MicroscopyImage-based FocusingAutomated Segmentation Workflow

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