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Comparative Performance of sCMOS and UV-Sensitive EMCCD Cameras for Advanced UV Imaging and Spectroscopy

High-sensitivity ultraviolet (UV) imaging and spectroscopy are essential for emerging applications such as optical characterization of high-bandgap semiconductors, photolithographic mask inspection, extreme UV (EUV) light source diagnostics, UV Raman spectroscopy for chemical analysis, and plasma dynamics imaging for fusion research. These fields demand detectors with exceptional quantum efficiency (QE), low noise, and high temporal resolution in the EUV–UVC range (10–400 nm). This study employs a comprehensive approach, integrating experimental measurements and simulated data to evaluate the performance of various UV-sensitive EMCCD, CCD, and sCMOS architectures across a range of cutting-edge applications.

EMCCD and sCMOS Camera Readout Architecture

Figure 1a. Sensor Diagrams

Figure 1b. Sensor Diagrams

  • Photon excites photoelectron in a pixel.
  • Photoelectrons are shuttled, row-by-row, into the shift register.
  • Shift register is read out, pixel-by-pixel, converting photoelectron charge to voltage.
  • Photon excites photoelectron in a pixel.
  • Photoelectron charge is converted to an analog voltage at the pixel.
  • Pixel voltages are transferred down columns where the signal is digitized.

Performance Characteristics of UV sCMOS and EMCCD Technologies

UV Responsivity Camera Properties

QE curves of UV optimized EMCCD (blue) and sCMOS (orange). Expanded QE curves in inset with visible optimized CCD curve (green).

Effects of Binning Camera Properties

SNR Scaling as a function of the number of binned pixels. Common imaging bins (2x2, 3x3, 4x4) and representative spectroscopy bin (5 mm) are highlighted.

UV Camera Speed Properties

Representative, full-frame, frame rates for UV optimized EMCCD (blue) and sCMOS (orange) sensors.

 

UV Camera Sensitivity

UV optimized EMCCD and SCMOS camera sensitivityUV optimized EMCCD (left) and sCMOS (right) camera sensitivity calculated at 200 nm (purple), 300 nm (dark blue), and 400 nm (light blue) for a 10 ms exposure time, maximum cooling, and highest bit-depth digitization.

Normalization of pixel sizeNormalization of pixel size enables performance comparisons within a common optical system (i.e lens arrangement).

Implementation of UV Optimized sCMOS and EMCCD Technologies

Environmental Monitoring of Gas Emissions

Emissions from industrial sites, vehicles, and electricity heat production sites, to name a few, may not always be detectable in visible wavelength bands. For example, the emission of SO2 from crude oil combustion can be detected in the UV when it is otherwise invisible to the naked eye or machine vision cameras.1

Smoke Stacking

With a f/2.8 100 mm objective the CB2-UV sCMOS was used to detect SO2 from an industrial chimney (left) while the emissions go unnoticed when imaged using a visible wavelength camera (right).

Imaging and Beam Profiling for the Semiconductor Industry

As EUV light sources continue to be developed, UV light sources remain a common fixture in semiconductor photolithography and metrology systems (ex. 193 nm). UV optimized sCMOS and EMCCD cameras are powerful tools to sample small features at and extend the “effective dynamic range” through fast image acquisition.

Number of illuminated pixels for a given beam diameter (left) and the saturation level for different exposure times and 193 nm laser fluences (right). Presented for the CB2-UV (orange) and iXon Blue (blue).

Number of illuminated pixels for a given beam diameter (left) and the saturation level for different exposure times and 193 nm laser fluences (right). Presented for the CB2-UV (orange) and iXon Blue (blue).

High Fidelity Spectroscopy and Microspectroscopy

Resulting from their pixel level readout architecture, UV optimized sCMOS cameras show great promise to reduce artifacts (e.x. smearing, blooming) and enable high fidelity microspectroscopy experiments.

Line Raman Spectroscopy

Concept is presented (right) for visible Raman microspectroscopy experiments of a highly dynamic microfluidic mixing system.2 Such a system can be adapted to UV Raman studying biological complexes, material analysis, and for identifying explosives and chemical agents.

Wavefront Sensing and Adaptive Optics

Adaptive Optics (AO) systems are used to correct for atmospheric distortions to incoming wavefronts. Some AO systems rely on laser guide stars with wavelengths outside the wavelength window of the primary observation camera. The third and fourth harmonics of Nd:YAG lasers (355 nm and 266 nm, respectively) are perfectly tuned with the CB2-UV’s QE curve. The multi-windowing function (illustrated right) and 2 x 2 on-chip binning further optimize the sensor for flexible readout operation for Shack-Hartman wave front sensing. With CoaXPress data interference, low latencies also optimize this camera's function for AO applications.

Multiple ROI

“Moving to the Extremes” – EUV sCMOS Technology

Similar in the VUV and DUV regions, recent innovations in EUV sCMOS technology are delivering unprecedented opportunities for semiconductor and fusion research. As the semiconductor industry moves towards using 13.5 nm (~92 ev) and high NA lasers EUV sCMOS cameras offer unprecedented sensitivity and speed for high throughput applications. In the fusion space EUV technology enables rapid detection of impurities in fusion plasma.

Marana-X

Conclusions + References

UV optimized sCMOS and EMCCD cameras are well positioned to advance sensitive, low noise, imaging and spectroscopy systems requiring UV detection. From the semiconductor industry to general spectroscopy to on-sky observations, UV imaging and spectroscopy solutions can be optimized to meet experimental needs.

REFERENCES

  1. Yaya, Ultraviolet CMOS Technology Opens a Spectrum of Possibility. Photonics Spectra. 2025
  2. P. Carpenter, et al. ms-Time resolution Raman spectroscopy using sCMOS cameras. Proceedings Volume 13348, Real-time Measurements, Rogue Phenomena, and Single-Shot Applications X. 2025, 1334807

Date: February 2026

Author: Andrew P. Carpenter, Adam Wise

Category: Application Note

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