Reduction of phototoxicity and clarification of fluorescent images by Enhance.ai with high S/N technology using AI
For a detailed study of subcellular events, time-lapse imaging using a fluorescent microscope is indispensable; however, for fluorescent observation, the phototoxic effects of excitation light are a concern. For this reason, technology that enables accurate quantitative analysis while preventing photobleaching and cell damage, using the lowest excitation light intensity or shortest exposure time possible, is required.
Mr. Kentaro Kobayashi, from the Research Institute for Electronic Science at Hokkaido University, reduced the phototoxicity of excitation light and evaluated the results based on a quantification of the length of mitochondria in a cell using Enhance.ai, one of the NIS.ai AI modules for the NIS-Elements imaging software. This application note introduces experimental examples.