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Digitally synthesized beat frequency multiplexing for sub-millisecond fluorescence microscopy
Digitally synthesized beat frequency multiplexing for sub-millisecond fluorescence microscopy
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Digitally synthesized beat frequency multiplexing for sub-millisecond fluorescence microscopy
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Digitally synthesized beat frequency multiplexing for sub-millisecond fluorescence microscopy
Digitally synthesized beat frequency multiplexing for sub-millisecond fluorescence microscopy

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Digitally synthesized beat frequency multiplexing for sub-millisecond fluorescence microscopy
Digitally synthesized beat frequency multiplexing for sub-millisecond fluorescence microscopy
Journal Article

Digitally synthesized beat frequency multiplexing for sub-millisecond fluorescence microscopy

2013
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Overview
Fluorescence imaging is the most widely used method for unveiling the molecular composition of biological specimens. However, the weak optical emission of fluorescent probes and the trade-off between imaging speed and sensitivity 1 are problematic for acquiring blur-free images of fast phenomena, such as sub-millisecond biochemical dynamics in live cells and tissues 2 , and cells flowing at high speed 3 . Here, we report a technique that achieves real-time pixel readout rates that are one order of magnitude faster than a modern electron multiplier charge-coupled device—the gold standard in high-speed fluorescence imaging technology 4 . Termed fluorescence imaging using radiofrequency-tagged emission (FIRE), this approach maps the image into the radiofrequency spectrum using the beating of digitally synthesized optical fields. We demonstrate diffraction-limited confocal fluorescence imaging of stationary cells at a frame rate of 4.4 kHz, and fluorescence microscopy in flow at a velocity of 1 m s −1 , corresponding to a throughput of approximately 50,000 cells per second. A confocal fluorescence microscopy scheme that maps the image to the radiofrequency spectrum by beating together two optical fields offers enhanced read-out speeds at kilohertz frame rates. It provides a new way for observing dynamic phenomena in cells.