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Microscope field of view and diffraction spot sampled on a scientific camera
Technical guides

Imaging calculator

Calculating camera field of view and diffraction sampling

Connect sensor size, pixel pitch, magnification, wavelength, and numerical aperture—then see whether the camera captures the field and samples the optical detail correctly.

Field of view

Sensor dimensions divided by total magnification.

Object-space pixel

Camera pixel pitch divided by total magnification.

Diffraction sampling

Compare object-space pixels with 0.61λ/NA.

Two independent questions

Will the specimen fit, and will its detail be sampled?

A large sensor increases the specimen area recorded in one exposure. Small pixels increase sampling density. Neither automatically improves optical resolution: the objective, wavelength, numerical aperture, tube lens, relay optics, and camera port determine what information reaches the detector.

Calculate field of view and sampling separately. A system can have an excellent field of view but undersample diffraction-limited detail—or sample extremely finely while recording an unnecessarily small area and generating excessive data.

FOVx = sensor width ÷ magnification

Use physical sensor dimensions and the complete camera-port magnification.

Pixelobject = pixel pitch ÷ magnification

This is the sample distance represented by one camera pixel.

d = 0.61λ ÷ NA

A common lateral Rayleigh-resolution estimate for incoherent imaging.

Interactive FOV & sampling calculator

Use real MAX and sMAX sensor dimensions

Field of view

222 × 222 µm

Object-space pixel

108 nm

Rayleigh scale

280 nm

Pixels / Rayleigh

2.58

sMAX04BM

13.31 × 13.31 mm · 2048 × 2048 · 6.5 µm pixels

Well sampled
Total magnification: 60.0×Airy diameter: 559 nm

The Rayleigh scale is 0.61λ/NA. “Well sampled” here means roughly 2–3.5 pixels across that scale. Confirm the objective field number, camera-port optics, aberrations, and usable image circle before final selection.

View camera

Interpret the result

Undersampling loses information; extreme oversampling dilutes photons and throughput

Undersampled

<2 pixels per Rayleigh scale

Fine optical structure may alias or disappear. Increase magnification, use smaller pixels, or accept lower resolved detail.

Well sampled

About 2–3.5 pixels

A practical range for preserving diffraction-limited information without excessive data or photon spreading.

Oversampled

>3.5 pixels

The image may be smooth, but additional pixels do not create new optical resolution. Consider lower magnification or binning.

MAX scientific camera sensor and body

Before final selection

Check the complete optical interface

  • Confirm the camera port’s actual relay magnification—not only the objective label.
  • Verify that the microscope image circle covers the sensor without vignetting.
  • Use emission wavelength for fluorescence sampling calculations.
  • Include binning, cropping, and any intermediate magnification optics.
  • Check objective field number, tube-lens compatibility, and aberration correction.
  • Balance sampling against QE, read noise, frame rate, and data volume.

Choose the complete camera

Sampling is one part of scientific-camera selection.

Continue with QE and read-noise comparison, or browse the complete scientific-camera range.