Imaging Glossary Pixel Size
Physical Parameter

Pixel Size

The physical dimension of each sensor element

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Definition

The physical dimensions of each light-sensitive element on the camera sensor, typically measured in micrometers. Smaller pixels enable finer sampling but collect fewer photons per pixel; larger pixels are more sensitive but sample more coarsely.

Four things move together, and only one of them is on the box

Pixel pitch is the one sensor number that touches everything else.

Sampling. The specimen a pixel sees is pitch divided by magnification — a length. Its area is that length squared, so a factor of 1.4 in pitch is a factor of 2 in area. Sensitivity per pixel follows that area directly. Full well scales with the photodiode's area, so larger pixels hold more charge before clipping. Data rate runs the other way: halving the pitch over a fixed sensor quadruples the pixel count and the bytes.

Representative pitches on current scientific cameras: 4.6 µm on the qCMOS class, 6.5 µm on most sCMOS including the Kinetix, and 11 µm on the Prime 95B, which trades resolution for a very large well and high quantum efficiency.

No pitch is best. The question is always which pitch, against which objective, for which measurement.

Simplified

Pixel size is the one sensor specification that affects everything else.

It sets how much sample each pixel covers, which sets how much light each pixel collects and how fine the detail can be. It sets how much charge a pixel can hold before saturating. And it sets how much data comes off the camera.

Typical sizes today are 4.6, 6.5 and 11 micrometers. None is best — the right one depends on the objective and the measurement.

The same camera is well matched or badly matched depending on the objective

Sampling is a property of the pairing, never of the camera, and the same sensor moves between verdicts as the objective changes.

At 40× / 1.15 NA the optics resolve 297 nm, so Nyquist asks for pixels of 148 nm or finer. A 6.5 µm pixel gives 162.5 nm — just past the requirement, 1.09× coarse. A 4.6 µm pixel gives 115 nm and oversamples comfortably.

Move the same 6.5 µm camera to 25× and it samples at 260 nm, undersampling badly. Move it to 60× and it samples at 108 nm, comfortably inside Nyquist. Nothing about the sensor changed.

Which is why a camera cannot be evaluated on its own. It can only be evaluated in the configuration you will actually run.

Simplified

Whether a camera samples finely enough depends entirely on the objective in front of it.

At 40× with a 1.15 NA lens the optics resolve about 297 nanometers, so you want pixels of 148 nanometers or smaller. A 6.5 micrometer pixel gives 162 — just slightly too coarse. A 4.6 micrometer pixel gives 115, comfortably fine enough.

Put the same 6.5 micrometer camera on a 25× lens and it is badly undersampled; put it on 60× and it is fine. The camera never changed.

Big pixels are not more sensitive, they are bigger

Larger pixels collect more photons per pixel. This gets read as more sensitive, and it is not the same claim.

A pixel with twice the area sees twice as much specimen and collects twice as many photons from it. Per unit of specimen, nothing has improved. What has changed is how the field was divided, and per-pixel numbers computed on different divisions are not comparable — two cameras on one sample can read 37% apart per pixel and about 2% apart per resolution element.

There is one place the advantage is real rather than bookkeeping. Read noise is charged per pixel read, so collecting a fixed patch of specimen with fewer, larger pixels pays it fewer times. When you are read-noise-limited — below roughly 5 detected photons per pixel — that is a genuine gain, and it is the honest argument for a large pixel. Above about 10 photons, where shot noise dominates, it evaporates.

Simplified

Bigger pixels collect more light per pixel, and that gets mistaken for being more sensitive.

A pixel twice the size sees twice as much sample and collects twice as much light from it. Nothing improved per unit of sample — the field was just divided differently.

There is one real advantage. The electronics charge a small noise penalty every time a pixel is read, so covering the same area with fewer, larger pixels pays that penalty fewer times. That genuinely helps when the light is very faint, and stops mattering once it is not.

Choosing one, in the order that actually works

Start from the measurement, not the catalog.

Decide what has to be resolved, and let the objective follow: that fixes the resolution distance d = 0.61λ/NA. Take Nyquist as d/2 and multiply by the magnification you will use — that is the largest pitch that preserves your optics. Then check the photon budget at that pitch: if you land below about 5 detected photons per pixel, either accept a coarser pitch or buy the read noise down.

Worked, for 40× / 1.15 NA: d = 297 nm, Nyquist 148 nm, so pitch ≤ 148 × 40 / 1000 = 5.9 µm. A 4.6 µm camera qualifies; a 6.5 µm camera misses by 10%, which is usually survivable and should at least be a decision.

Two things this ordering protects you from. Buying resolution you cannot use because the photon budget will not support the pitch, and buying sensitivity you cannot use because the sampling throws the resolution away before the sensor ever sees it.

Simplified

Work from the measurement rather than the catalog.

Decide what you need to resolve, which fixes the objective. That gives you the finest detail available, and you want pixels at most half that size when projected onto the sample. Multiply by magnification to get the largest pixel that preserves it.

For a 40× 1.15 NA lens that works out to about 5.9 micrometers, so a 4.6 micrometer camera qualifies and a 6.5 micrometer one is slightly too coarse.

Then check you will still have enough light at that pixel size. This order stops you buying resolution you cannot feed, or sensitivity the sampling throws away.

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