Enhancing Laser Beam Analysis with CMOS Cameras

Since 2024, the MKS Ophir BeamSquared analyzer has featured the new SP204S backside-illuminated CMOS camera, offering a number of benefits over the previously equipped CCD camera (SP920).

Image Credit: Pixel 4 Images/Shutterstock.com

One notable advantage of CMOS cameras is that they lack the smearing found in CCD cameras. Ophir Photonics’ latest cameras also demonstrate a significantly reduced blooming effect, an effect that is particularly attributed to CMOS sensors.

Backside-illuminated CMOS sensors flip and thin the silicon, improving photodiode light-collection efficiency and delivering enhanced sensitivity. The combination of this new camera and the advanced BeamSquared system delivers sensitivity improvements and M2 measurement in the NIR region.

The new camera’s reduced pixel size also enables the accurate measurement of smaller beam sizes.

Advantages of CMOS Over CCD Technology

Both CMOS and CCD sensors absorb light via similar semiconductor heterojunction structures, typically a pinned photodiode.

CMOS architecture has each pixel use its own transistors to convert the generated electrons into a voltage and amplify it. These voltages are sequentially sampled using analog-to-digital circuits at the edge of the active area to produce the digital readout signal.

In contrast, CCDs transport the photoexcited charges from pixel to pixel before finally transporting these to the edge of the active region. Once at the edge, the charges are converted into a voltage before being digitized to provide the reading.

CMOS cameras solve the smearing problem by sampling voltage rather than transporting charge. This issue is prevalent in CCD cameras close to saturation. Smearing also occurs in the CCD farther from saturation for near-infrared (NIR) light, above 1000 nm (Figures 1 and 2). This smearing is also absent in CMOS cameras.

Smearing in CCDs

Figure 1. Smearing in CCDs. Image Credit: MKS Ophir

Smearing in SP920, 1070 nm

Figure 2. Smearing in SP920, 1070 nm. Image Credit: MKS Ophir

Some CMOS cameras exhibit blooming, which can be understood as a different, less severe form of beam broadening for NIR light. Blooming has been attributed to poorly absorbed NIR light bouncing off the back of the silicon wafer in which the CMOS pixel array has been formed. This NIR light diffracts sideways, causing blooming.

The photodiode pixels and accompanying transistors in a typical CMOS sensor are fabricated in the top layer of a silicon substrate. Metal wires are deposited on top of this to transmit the data for further processing.

In the backside-illuminated sensor, silicon is flipped and thinned, enabling the illumination of photodiodes without metal wires shading them. This increases the photodiode’s light-collecting efficiency and improves sensitivity.

Difference between backside- and frontside-illuminated pixel structure methods. Backside-illuminated benefits from high sensitivity thanks to the wider incident angle; higher speed by enlarging the size of the metal wiring area; and better performance because of the larger signal-processing area.

Figure 3. Image Credit: https://www.sony-semicon.com/en/technology/industry/pregius.html

Signal processing circuitry in the latest backside-illuminated sensors is embedded in a separate layer underneath the sensing layer, rather than in the same layer off to the side. These layers can be independently optimized for their respective tasks, resulting in reduced noise and increased saturation levels.

Blooming is also greatly reduced in the thinner silicon of the backside-illuminated CMOS sensor. Figure 4 compares blooming in a frontside-illuminated sensor and a backside-illuminated sensor.

Comparison of blooming in backside-illuminated and frontside-illuminated sensors: 1064 nm laser, 10 ms exposure

Figure 4. 1064 nm laser, 10 ms exposure. Image Credit: MKS Ophir

The new camera also boasts lower temporal dark noise, meaning it offers a significantly greater dynamic range and a higher sensitivity threshold than the company’s previous cameras.

Comparison of camera performance properties. Source: MKS Ophir

Camera SP920 SP932 SP204S
Sensor CCD CMOS,
frontside ill.
CMOS,
backside ill.
EMVA data      
Quantum efficiency at 530 nm [%] 54.62 71.61 73.7
Gain K [DN/e-] 6.9061 5.7837 0.58
Inverse Gain 1/K [e-/DN] 0.1448 0.1729 1.730
Temporal dark noise (read noise) [e-] 12.0473 15.4 2.2
Signal to Noise Ratio SNRmax 95.5324 103.9763 80.1
1/SNRmax [%] 1.0468% 0.9618% 1.2%
Signal to Noise Ratio SNRmax [dB] 39.603 40.3387 38.1
Signal to Noise Ratio SNRmax [bits] 6.5779 6.7 6.3
Absolute sensitivity Threshold μp.min [photons] 22.9715 21.75 3.7
Absolute sensitivity Threshold μe.min [e-] 12.55 15.58 2.7
Saturation Capacity μe.sat [e-] 9126.4 10811 6415
Saturation Capacity μp.sat [photons] 16709 15097 8710
Dynamic Range 727.3562 694.0765 2340
DR [dB] 57.2349 56.8281 67.4
DR [bits] 9.5065 9.439 11.2
DSNU1288 [e-] 5.1395 6.4715 0.3
DSNU1299 [DN] 35.4895 37.4334 0.2
PRNU1288 [%] 0.8304 1.2753 0.4
Linearity error LEmin [%] -1.254 -0.0823 -0.1
Linearity error LEmax [%] 1.0284 0.3258 0.1
Dark current [e-/sec], μI.mean     0.15
Camera Temperature [C] 65 58  

BeamSquared and the New CMOS SP204S Camera

The new camera’s most relevant improvement in terms of the M2 measurement is its smaller pixel size. The SP204S 2.74 μm pixels are 61% smaller than those of the SP920, meaning that the new camera can better measure smaller focal spots.

This improved capability also allows the use of shorter focal-length lenses for a specific input beam size or the measurement of larger beams for a specific focusing lens.

Images in the near IR range tend to exhibit broadening at moderate spot sizes and short exposure times. Broadening in a few data points is diluted when fitting to the full data set, so this improvement is only weakly reflected in the calculated M2 parameters.

Good agreement was observed when comparing the measured beam parameters of different lasers using the old and new cameras (Figure 6). The values agree to within 1 or 2%, well within the specifications. The only exceptions were the waist location (which is known to have a larger relative error) and the M2 value for the IR laser.

Comparison measurements between the old and new cameras

Figure 5. Comparison measurements between the old and new cameras. Image Credit: MKS Ophir

Source: MKS Ophir

Parameter Laser SP920 SP204S %Change
M-squared HeNe 1.03 1.01 -1.5%
HeNe 7X 1.03 1.01 -1.6%
UV 2.70 2.68 -0.8%
IR 1.22 1.16 -5.0%
Waist Width (mm) after lens HeNe 199 197 -0.8%
HeNe 7X 71.4 71.0 -0.6%
UV 213 211 -0.9%
IR 73.8 74.0 0.3%
Waist Location (mm) laser HeNe 1431 1432 0.0%
HeNe 7X 1888 1814 -3.9%
UV 10526 10905 3.6%
IR 2153 2147 -0.3%
Rayleigh Length (mm) laser HeNe 370 367 -0.6%
HeNe 7X 25601 25769 0.7%
UV 18838 18761 -0.4%
IR 66.6 67.2 0.8%
Divergence (mrad) laser HeNe 1.50 1.49 -0.4%
HeNe 7X 0.180 0.178 -1.1%
UV 0.264 0.263 -0.6%
IR 4.99 4.85 -2.8%
BPP (mm mrad) laser HeNe 0.21 0.20 -1.2%
HeNe 7X 0.21 0.20 -1.5%
UV 0.323 0.320 -0.9%
IR 0.41 0.39 -5.1%

Some broadening still occurs for the smallest NIR spots when using the SP204S, but this will only affect a few of the measurement points in the M2 measurement of the largest input beams, notably above 4 mm diameter, when employing a 600 mm focal-length lens. The impact on the derived beam parameters will remain minimal.

The standard deviation for successive measurements on a given camera and for the measurements between different units is low, highlighting good repeatability (see Figure 6).

The value derived for the waist location remains the exception, however, with a varying standard deviation between 4 and 14%. This variation becomes relatively small when normalized by the Rayleigh length rather than by the waist-location value itself (see the table below).

Standard deviation in three measurements taken with each camera and between the averaged readings of the three cameras.

Figure 6. Standard deviation in three measurements taken with each camera and between the averaged readings of the three cameras. Image Credit: MKS Ophir

Standard deviation in waist location relative to location value and Rayleigh length. Source: MKS Ophir

Waist Location
X (mm)
Waist Location
Y (mm)
515 Relative to location 5.0% -13.7%
  Relative to Rayleigh's length 0.8% 0.7%
538 Relative to location 4.0% -7.5%
  Relative to Rayleigh's length 0.6% 0.4%
542 Relative to location 8.8% -3.0%
  Relative to Rayleigh's length 1.2% 0.1%
Between cameras Relative to location 8.1% -10.8%
  Relative to Rayleigh's length 1.2% 0.6%

Conclusion

The new BeamSquared camera has been confidently shown to be superior to its predecessor, but its benefits may go unnoticed when performing routine measurements. When equipped with an SP204S camera, it exhibited reduced broadening and may yield slightly smaller M2 values at NIR wavelengths.

Acknowledgments

Produced from materials originally authored by Mark Ivker, Sneha Patil, and Karol Sanilevitch from Ophir Photonics Group.

Image

This information has been sourced, reviewed, and adapted from materials provided by MKS Ophir.

For more information on this source, please visit MKS Ophir.

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