# A Mega-FPS low light camera

Source: [A Mega-FPS low light camera](<https://www.sota2.com/research/paper/68fa4a581e209131ce93dcdc>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T07:47:55.950Z

Authors: Bowen Li, Lukas Palm, Marius J\\"urgensen, Yiming Cady Feng, Markus Greiner, Jon Simon

Published: 2025-02-26T00:20:09.000Z

## Abstract

From biology and astronomy to quantum optics, there is a critical need for high frame rate, high quantum efficiency imaging. In practice, most cameras only satisfy one of these requirements. Here we introduce interlaced fast kinetics imaging, a technique that allows burst video acquisition at frame rates up to 3.33 Mfps using a commercial EMCCD camera with single-photon sensitivity. This approach leverages EMCCD's intrinsic fast row transfer dynamics by introducing a tilted lens array into the imaging path, creating a spatially distributed grid of exposed pixels, each aligned to its own column of the sensor. The remaining unexposed pixels serve as in-situ storage registers, allowing subsequent frames to be captured after just one row shift operation. Our interlaced fast kinetics camera maintains 50% contrast for square wave intensity modulation frequencies up to 1.61 MHz. We provide benchmarks of the video performance by capturing two dimensional videos of spatially evolving patterns that repeat every 2$\\mu$s, with spatial resolution of 11$\\times$15 pixels. Our approach is compatible with commercial EMCCDs and opens a new route to ultra-fast imaging at single-photon sensitivity with applications from fast fluorescence imaging to photon correlation measurement.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2502.18716>)

[PDF](<https://arxiv.org/pdf/2502.18716.pdf>)
