Automated single-molecule imaging in living cells

• Published in: Nature communications Vol. 9; no. 1; pp. 3061 - 11
• Main Authors: Yasui, Masato, Hiroshima, Michio, Kozuka, Jun, Sako, Yasushi, Ueda, Masahiro
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 03.08.2018; Nature Publishing Group; Nature Portfolio
• Subjects: 14/56; 14/63; 631/1647/245/2225; 631/57/2265; 631/80/86/2368; 96/95; Animals; Artificial Intelligence; Automation; Cell Line; Cell Membrane; Cell Tracking - methods; Cells (biology); Cricetulus; Diffusion coefficient; Dose-Response Relationship, Drug; Epidermal growth factor; Epidermal growth factor receptors; Feasibility studies; Fluorescent Dyes; Growth factor receptors; Growth factors; Humanities and Social Sciences; Image acquisition; Kinetics; Models, Biological; multidisciplinary; Pharmacology; Receptors; Science; Science (multidisciplinary); Single Molecule Imaging - methods

An automated single-molecule imaging system developed for live-cell analyses based on artificial intelligence-assisted microscopy is presented. All significant procedures, i.e., searching for cells suitable for observation, detecting in-focus positions, and performing image acquisition and single-mo...