Machine learning-based quantification of nuclear behavior to understand chiral properties of multicellular epithelial colonies<br/>

Ryohei Nishizawa

[2P-432] Machine learning-based quantification of nuclear behavior to understand chiral properties of multicellular epithelial colonies

^○Ryohei Nishizawa^1,2, Tomoki Ishibashi¹, Goshi Ogita¹, Tatsuo Shibata¹ (1.BDR, RIKEN, 2.Grad. Sch. of Frontier Biol. Sci., Osaka Univ.)

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The 46th Annual Meeting of the Molecular Biology Society of Japan

[2P-432] Machine learning-based quantification of nuclear behavior to understand chiral properties of multicellular epithelial colonies

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