A deep learning-based toolkit for 3D nuclei segmentation and quantitative analysis in cellular and tissue context
A. Vijayan, T. A. Mody, Q. Yu, A. Wolny, L. Cerrone, S. Strauss, M. Tsiantis, R. S. Smith, F. Hamprecht, A. Kreshuk, K. Schneitz
The paper introduces computational tools for 3D nuclei segmentation and analysis, showing variations in nuclear-to-cell volume ratios across tissues.
Development · Jul 18, 2024Peer-reviewedPlant Biology