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MCA-Based Embryology and Embryo Imaging

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Multidisciplinary Computational Anatomy

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Abstract

The study of human embryology has a long history owing to its development in the human embryo collections that were first established in the nineteenth century. The first established large collection of human embryos was the Carnegie Collection, followed by several other major collections. After the Carnegie stages of development were defined based on morphological features of developing embryos, researchers have conducted morphological measurements and analyses to discover new insights using the stored specimens efficiently. At present, conducting analysis using nondestructive methods has been prioritized, and novel imaging techniques are adopted to preserve the specimens and have promoted the use of 3D imaging modalities. Visualizing tissues and organs in three dimensions has helped understand and characterize complex morphogenic changes in the body. The use of 3D imaging modalities started in the twentieth century using the histological sections for reconstruction, and now, 3D image datasets are also used. This chapter describes how the collections have been made, to provide new insights into human embryonic development, along with details of novel 3D imaging techniques for morphological analyses and their methods of application.

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Authors and Affiliations

  1. Congenital Anomaly Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan

    Shiori Nakano, Ryota Kodama, Yutaka Yamaguchi & Shigehito Yamada

  2. Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan

    Ryota Kodama, Tetsuya Takakuwa & Shigehito Yamada

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  1. Shiori Nakano
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  2. Ryota Kodama
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  3. Yutaka Yamaguchi
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  4. Tetsuya Takakuwa
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  5. Shigehito Yamada
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Correspondence to Shigehito Yamada .

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Editors and Affiliations

  1. Professor Emeritus, Kyushu University, Fukuoka, Japan

    Makoto Hashizume

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Nakano, S., Kodama, R., Yamaguchi, Y., Takakuwa, T., Yamada, S. (2022). MCA-Based Embryology and Embryo Imaging. In: Hashizume, M. (eds) Multidisciplinary Computational Anatomy. Springer, Singapore. https://doi.org/10.1007/978-981-16-4325-5_14

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  • DOI: https://doi.org/10.1007/978-981-16-4325-5_14

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