Visualizing Singularity Phenomenon-Reference-Cited by-同舟云学术

Visualizing Singularity Phenomenon

Published:2024 Issue:Supplemental Volume:21 Page:n/a
ISSN:2189-4779
Container-title:Biophysics and Physicobiology
language:en
Short-container-title:BIOPHYSICS

Author:

Watanabe Tomonobu M¹²^ORCID,Shiina Tsuyoshi³

Affiliation:

1. Department of Stem Cell Biology, Research Institute for Radiation Biology and Medicine, Hiroshima University

2. Laboratory for Comprehensive Bioimaging, RIKEN Center for Biosystems Dynamics Research (BDR)

3. Advanced Biomedical Engineering Systems Laboratory, SIT Research Laboratories, Graduate School of Engineering and Science, Shibaura Institute of Technology

Publisher

Biophysical Society of Japan

Link

https://www.jstage.jst.go.jp/article/biophysico/21/Supplemental/21_e211011/_pdf

Reference10 articles.

1. [1] Sofroniew, N. J., Flickinger, D., King, J., Svoboda, K. A large field of view two-photon mesoscope with subcellular resolution for in vivo imaging. eLife 5, e14472 (2016). https://doi.org/10.7554/eLife.14472

2. [2] McConnell, G., Trägårdh, J., Amor, R., Dempster, J., Reid, E., Amos, W. B. A novel optical microscope for imaging large embryos and tissue volumes with sub-cellular resolution throughout. eLife 5, e18659 (2016). https://doi.org/10.7554/eLife.18659

3. [3] Ichimura, T., Kakizuka, T., Horikawa, K., Seiriki, K., Kasai, A., Hashimoto, H., et al. Exploring rare cellular activity in more than one million cells by a transscale scope. Sci. Rep. 11, 16539 (2021). https://doi.org/10.1038/s41598-021-95930-7

4. [4] Jin, J., Ogawa, T., Hojo, N., Kryukov, K., Shimizu, K., Ikawa, T., et al. Robotic data acquisition with deep learning enables cell image-based prediction of transcriptomic phenotypes. Proc. Natl. Acad. Sci. U.S.A. 120, e2210283120 (2023). https://doi.org/10.1073/pnas.2210283120

5. [5] Shioi, G., Watanabe, T. M., Kaneshiro, J., Azuma, Y., Onami, S. Trans-scale live imaging of an E5.5 mouse embryo using incubator-type dual-axes light-sheet microscopy. bioRxiv (2023). https://doi.org/10.1101/2023.05.01.538896