Telecentric lens

Image-Space Telecentric Lens Design in OpticStudio

Image-space telecentric lenses are optical systems in which the chief rays are parallel to the optical axis in image space. This means the exit pupil is located at infinity.

Such lenses are especially valuable in applications where image irradiance and magnification must remain stable, including:

  • Radiometric and photometric measurements
  • Machine vision and metrology
  • Fluorescence and scientific imaging
  • Imaging onto flat sensors with strict angular acceptance

In this article, we discuss three practical methods for enforcing image-space telecentricity in Zemax OpticStudio.

What Does Image-Space Telecentric Mean?

An optical system is telecentric in image space when:

  • The chief ray angle at the image plane is 0°
  • Chief rays strike the detector normal to the image plane
  • The exit pupil is effectively at infinity

Key benefits:

  • Constant magnification despite small image-plane shifts
  • Uniform irradiance across the sensor
  • Reduced cosine falloff
  • Improved measurement accuracy

Three Ways to Enforce Image-Space Telecentricity in OpticStudio

OpticStudio provides three different approaches to constrain the exit pupil to infinity. Each method is useful in different design stages.

1. Chief Ray Angle (RANG) Curvature Solve

Concept

Image-space telecentricity requires the chief ray angle at the image plane to be zero. This can be enforced by applying a Chief Ray Angle solve on a surface curvature.

How It Works

  • Apply a Chief Ray Angle = 0° solve
  • OpticStudio adjusts the radius of curvature of the selected surface
  • The chief ray exits the system parallel to the optical axis

When to Use

  • Early design stages
  • Simple systems
  • Educational or conceptual designs

Limitations

  • Only one surface is adjusted
  • Limited flexibility for complex multi-element systems

2. EXPP Operand (Exit Pupil Position)

Concept

The EXPP operand directly controls the exit pupil position.

  • Setting EXPP = Infinity forces the exit pupil to infinity
  • This guarantees image-space telecentricity explicitly

How It Works

  • Add EXPP to the Merit Function Editor (MFE)
  • Set the target value to infinity
  • Assign appropriate weighting

When to Use

  • Robust optimization workflows
  • Multi-element or complex systems
  • When pupil location is a strict requirement

Advantages

  • Explicit physical control of exit pupil
  • Stable during optimization
  • Works well with other performance constraints

3. RANG Operand (Chief Ray Angle at Image Plane)

Concept

The RANG operand directly minimizes the chief ray angle at a specified surface, usually the image surface.

  • Telecentricity condition: RANG = 0°

How It Works

  • Insert RANG in the Merit Function
  • Specify the image surface
  • Optimize until chief ray angle is driven to zero

When to Use

  • Optimization-driven designs
  • Fine tuning of telecentric behavior
  • When you want direct control of angular behavior

Advantages

  • Intuitive physical meaning
  • Works well in combination with contrast or MTF optimization

Comparison of the Three Methods

MethodControlsBest Use Case
Chief Ray Angle SolveSurface curvatureSimple / early designs
EXPP OperandExit pupil positionRobust, production designs
RANG OperandChief ray angleOptimization and fine tuning

Best practice:

  • Use EXPP or RANG for final designs
  • Use Chief Ray Angle solve for quick setup or teaching

Practical Design Tips

  • Telecentricity is most sensitive to image-side optics
  • Combine telecentric constraints with MTF or spot size goals
  • Avoid over-constraining early in optimization
  • Always verify with ray fan and pupil analysis
  • Check irradiance uniformity on the detector

Summary

Image-space telecentric lenses are essential for high-accuracy imaging and measurement systems.
In OpticStudio, telecentricity can be achieved in three reliable ways:

  • Chief Ray Angle curvature solve
  • EXPP operand (exit pupil control)
  • RANG operand (chief ray angle control)

Choosing the right method depends on design complexity, optimization strategy, and performance requirements.