Field of View Calculator

Object-side field of view and pixel footprint from sensor size and magnification, Nyquist sampling λ/(4NA) and the eyepiece field FN/M.

Model: Exact

Sensor width (mm)Sensor height (mm)Magnification at the sensor (×)Pixel size (µm)Objective NAWavelength (nm)Eyepiece field number (mm)

Results

FOV width, sensor/M0.6668 mm

FOV height0.5008 mm

FOV diagonal0.8339 mm

Pixel footprint p/M325.0 nm

Nyquist pixel λ/(4NA)183.3 nm

Magnification for Nyquist35.5×

Eyepiece field FN/M1.100 mm

The camera is undersampled by 1.77×: the camera loses detail the objective passes.

The incoherent image carries spatial frequencies up to 2NA/λ; sampling them at Nyquist needs an object-side pixel no larger than λ/(4NA). The eyepiece field is the field stop FN seen through the objective.

Field of view vs magnification

Model and references

Exact. The equations are exact within the stated assumptions, or are a standard's tabulated values. The results are as good as the inputs. About the tiers

First-order imaging without distortion: object sizes are sensor sizes divided by the magnification at the sensor. Nyquist uses the incoherent cutoff 2NA/λ; a pixel at that limit still loses contrast near the cutoff.

Nikon MicroscopyU. Field of View. Field number divided by objective magnification; camera field from the sensor size. microscopyu.com
Pawley J. B. (2006). Points, Pixels, and Gray Levels: Digitizing Image Data. In: Handbook of Biological Confocal Microscopy, 3rd ed., ch. 4, pp. 59–79. Springer. Nyquist sampling of the optical cutoff. doi:10.1007/978-0-387-45524-2_4

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