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High-Throughput, Multi-Image Cryohistology of Mineralized Tissues
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High-Throughput, Multi-Image Cryohistology of Mineralized Tissues

High-Throughput, Multi-Image Cryohistology of Mineralized Tissues

DOI:
10.3791/54468-v

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10:18 min

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September 14, 2016

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, , , , , , ,
1Department of Reconstructive Sciences,University of Connecticut Health Center, 2Department of Computer Science and Engineering,University of Connecticut, 3Department of Orthopaedic Surgery,University of Connecticut Health Center, 4Department of Orthopaedics,University of Rochester

Chapters

  • 00:05Title
  • 01:10Fixation and Embedding
  • 02:38Tape-stabilized Tissue Sectioning
  • 05:01Adhesion of Sections to Microscope Slides
  • 06:20Application of Reference Markers to Slides
  • 07:12Multiple Rounds of Imaging
  • 08:53Results: Four Rounds of Imaging within the Distal Femur Containing Microsphere Reference Markers
  • 09:42Conclusion

Summary

Automatic Translation

Automatic Translation

In this manuscript, we present a high-throughput, semi-automated cryohistology platform to produce aligned composite images of multiple response measures from several rounds of fluorescent imaging on frozen sections of mineralized tissues.

Tags

Keywords: High-throughputMulti-image CryohistologyHistological ToolsObserver IndependentDigitalCost-effectiveMusculoskeletal BiologyLabor-intensiveNon-quantitativeAutomated AnalysisCryohistology PlatformMolecular SignalsCellsSpecimenFormalinSucroseCryoembedding MediumDry Ice2-methylbutaneCryostatCryomold

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