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EMVA 1288 Dashboard ​

Integrated sensor characterization dashboard based on the EMVA 1288 standard (Release 4.0). Simulates all key performance parameters from pixel design inputs.

EMVA 1288 Dashboard

Integrated characterization dashboard based on EMVA 1288 standard. Simulates key sensor parameters from pixel design.

Peak QE (520nm)
85.1
%
Peak Responsivity
0.357
A/W
Saturation Capacity
5,000
e-
Temporal Dark Noise
3.0
e- rms
SNR_max
37.0
dB
Dynamic Range
64.4
dB (10.7 EV)
Dark Current @25C
10
e-/s
PRNU
1.0
%
Abs. Sensitivity
3.5
photons
Quantization Noise
0.35
e-
Conversion Gain
200.0
µV/e-
Useful Bits
10.7
bit
SNR Curve
1101001k10k010203040SNR_maxSignal (e-)SNR (dB)

Model scope

Use this browser tool for intuition, relative trends, and design-space exploration. Its local simplified model is not a substitute for RCWA/FDTD sign-off, silicon calibration, or vendor process data.

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EMVA 1288 Characterization · Noise, SNR, and Dynamic Range

Physics Notes

EMVA 1288 Characterization Metrics

Plain-English Intuition

EMVA 1288 is the industry standard sensor report card — a fixed set of measurements every manufacturer can run, so cameras from different vendors can be compared apples-to-apples. This dashboard groups those metrics (sensitivity, noise, full-well, dynamic range, SNR) in one place using EMVA vocabulary, so you can read every sensor with the same yardstick.

The dashboard groups sensor metrics using the EMVA 1288 measurement vocabulary: sensitivity, noise, saturation, dynamic range, and SNR.

Assumptions

  • The dashboard follows the EMVA 1288 measurement vocabulary with compact synthetic inputs.
  • Sensor response is assumed stable, linear in the selected operating range, and characterized by scalar noise terms.
  • The browser dashboard is not a replacement for controlled lab measurements with calibrated illumination.

Outputs

  • QE, saturation capacity, temporal noise, SNR, dynamic range, absolute sensitivity threshold, and EMVA-style summary metrics.
  • A single operating-point dashboard for comparing how pixel design assumptions affect standard camera metrics.

Validation Example

  • Reducing temporal noise should improve absolute sensitivity threshold and low-signal SNR.
  • Increasing saturation capacity should improve DR only if the noise floor is not increasing with it.

Core Equations

Absolute sensitivity threshold
$$\mu_{p, \text{min}} \quad (\text{at } SNR=1)$$
  • \(\mu_{p, \text{min}}\): Minimum detectable photon count

This estimates the photon count needed for signal to equal noise.

Saturation capacity
$$S_{\text{sat}} \approx FWC$$
  • \(S_{\text{sat}}\): Saturation signal

Full well is the charge capacity before clipping or nonlinearity dominates.

SNR
$$SNR = \frac{\mu_e}{\sqrt{\sigma_d^2 + \sigma_q^2 + \mu_e}}$$
  • \(\mu_e\): Mean photoelectron count
  • \(\sigma_d\): Dark noise std dev

The simplified dashboard includes dark/read-like noise and shot noise terms.

Model Interpretation

  • EMVA 1288 is a measurement standard, not a device physics simulator.
  • Use it to compare camera-level metrics under consistent definitions.
  • Real EMVA testing requires calibrated illumination and image acquisition procedures.

Metric Families

  • Sensitivity metrics describe how many photons are needed for a usable signal.
  • Noise metrics separate temporal noise, dark noise, and fixed-pattern contributions.
  • Saturation and dynamic range metrics connect full-well capacity to the noise floor.

Testing Discipline

  • Calibrated irradiance, exposure control, black-level handling, and linear raw data are required for meaningful results.
  • Camera settings such as gain, bit depth, and image processing must be reported with the measurement.
  • Repeatability matters: temperature and illumination stability can dominate small differences.

Known Missing Physics

  • The dashboard summarizes EMVA vocabulary; it does not emulate a full laboratory acquisition pipeline.
  • It does not model spatial artifacts, image-processing defaults, or application-specific perception metrics.
  • Use official EMVA procedures for reportable camera characterization.

References