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- W2958130478 abstract "Multi-emitter localization has great potential for maximizing the imaging speed of super-resolution localization microscopy. However, the slow image analysis speed of reported multi-emitter localization algorithms limits their usage in mostly off-line image processing with small image size. Here we adopt the well-known divide and conquer strategy in computer science and present a fitting-based method called QC-STORM for fast multi-emitter localization. Using simulated and experimental data, we verify that QC-STORM is capable of providing real-time full image processing on raw images with 100 µm × 100 µm field of view and 10 ms exposure time, with comparable spatial resolution as the popular fitting-based ThunderSTORM and the up-to-date non-iterative WindSTORM. This study pushes the development and practical use of super-resolution localization microscopy in high-throughput or high-content imaging of cell-to-cell differences or discovering rare events in a large cell population." @default.
- W2958130478 created "2019-07-23" @default.
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- W2958130478 date "2019-07-12" @default.
- W2958130478 modified "2023-10-17" @default.
- W2958130478 title "Divide and conquer: real-time maximum likelihood fitting of multiple emitters for super-resolution localization microscopy" @default.
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- W2958130478 doi "https://doi.org/10.1364/oe.27.021029" @default.
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