A new study led by Dr. Keita Kamino’s group at the Institute of Molecular Biology, Academia Sinica, and Dr. Thierry Emonet’s group at Yale University has developed a new computational method that drastically improves the signal-to-noise ratio of fluorescent-microscopy data acquired by a method widely used in micro- and cell-biology. This study, “Optimal inference of molecular interaction dynamics in FRET microscopy,” has been published in Proceedings of the National Academy of Sciences of the United States of America.

The leading author, Dr. Keita Kamino, is an assistant research fellow at the Institute of Molecular Biology, Academia Sinica, who carried out the research with support from Dr. Nirag Kadakia from Yale University, Mr. Fotis Avgidis and Dr. Thomas Shimizu from AMOLF Institute, Amsterdam, Netherlands, Mr. Zhe-Xuan Liu from National Yang Ming Chiao Tung University, and Dr. Kazuhiro Aoki from National Institutes of Natural Sciences, Aichi, Japan. Funding was provided by National Institute of Health, Japan Science and Technology Agency, Swartz Foundation and Netherlands Organization for Scientific Research.

Article Link: https://www.pnas.org/doi/10.1073/pnas.2211807120#supplementary-materia
For further information: https://www.imb.sinica.edu.tw/en/research/publication_show.php?pid=231