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

Article DOI: 10.3791/54468-v • 10:18 min • September 14th, 2016
September 14th, 2016 •
1, 1, 1, 2, 3, 4, 2, 1
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

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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.

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Cryohistology High-throughput Multi-image Mineralized Tissues Histological Tools Model Systems Observer Independent Cost-effective Musculoskeletal Biologists Estology Non-quantitative Efficient Analysis Cryohistology Platform Molecro Signals Imaging And Staining High-throughput Manner Doctor Xi Jiang Li Chen Research Assistants Formalin Sucrose Cryoembedding Medium Cutting Plane
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