Imaging Glossary › Photons per Pixel
Sensitivity Metric

Photons per Pixel

The fundamental signal budget

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Definition

The number of photons collected by each pixel during an exposure, before conversion to electrons. This is the starting point for all sensitivity calculations and depends on sample brightness, collection efficiency, and pixel area.

Magnification enters once, and it is easy to charge it twice

The photons one pixel collects in one exposure:

N ≈ B × η(NA) × T × Apixel at sample × t

where B is specimen emission per unit area per unit time, η is the fraction of emitted light the objective collects, T is the transmission of everything between objective and sensor, and A is the specimen area one pixel sees.

The trap is in that last term. Apixel at sample = (pitch / M)², which already contains 1/M². Writing the expression with pixel area at the sample and a separate division by M² charges magnification twice and makes photons fall as M⁻⁴ instead of M⁻². At 60× against 25× that is an error of a factor of 5.8 — not a rounding problem, a different answer.

Write it one way and stay there: either pixel area at the specimen, or physical pixel area divided by M². Never both.

Simplified

The photons a pixel collects depend on how bright the sample is, how much light the objective gathers, how much survives the optics, how much sample area the pixel covers, and for how long.

There is one easy mistake. The area a pixel covers already has magnification in it — it is the pixel size divided by magnification, squared. Dividing by magnification again counts it twice, and the answer comes out wrong by a large factor.

Pick one form and stay with it.

NA squared is a convenience, not the collection efficiency

Collection efficiency is usually written as proportional to NA². That is the small-angle approximation, and high-NA objectives are not operating at small angles.

The fraction of a point emitter's isotropic output entering a cone of half-angle θ is (1 − cosθ)/2, with sinθ = NA/n. In oil at n = 1.515: NA 1.15 collects 17.4% of the full sphere, NA 1.25 collects 21.7%.

The ratio between them is 0.802 exactly, where NA² predicts 0.846. The approximation understates the penalty of dropping NA by about 5%, and it does so in the direction that flatters the weaker objective — which is the wrong direction for a purchasing decision.

For rough reasoning NA² is fine. For a written comparison between two objectives, use the exact form; it is one line of arithmetic.

Simplified

How much light an objective gathers is usually quoted as proportional to NA squared. That is an approximation that assumes shallow angles, and high-NA lenses do not work at shallow angles.

Done exactly, an NA 1.15 lens in oil collects 17.4% of everything the molecule emits, and an NA 1.25 lens collects 21.7%.

The approximation makes the weaker lens look about 5% better than it is — the wrong direction if you are deciding what to buy.

A worked comparison, done correctly

A 3.7 µm pixel at 25× sees 148 nm on a side, or 0.0219 µm². A 6.5 µm pixel at 60× sees 108.3 nm, or 0.0117 µm². The first covers 1.87× the specimen area.

Now include the objectives, 1.1 NA against 1.2 NA. Exact collection efficiencies are 15.6% and 19.5%, a ratio of 0.802. So the photon ratio is 1.87 × 0.802 = 1.50×, not 1.87×.

Quoting the area ratio alone would have claimed a 1.9× advantage where the truth is 1.5×. Using NA² instead of the exact form would have given 1.57×. The lower-magnification, lower-NA configuration still wins on photons per pixel — the conclusion survives — but by half as much as the careless version claims, and the margin is now small enough that sampling and read noise decide the outcome.

Simplified

A 3.7 micrometer pixel at 25× covers 1.87 times the sample area of a 6.5 micrometer pixel at 60×.

But the objectives differ too, 1.1 NA against 1.2. Working that out exactly, the real advantage is 1.50 times, not 1.87.

The lower-magnification setup still collects more light per pixel. It just collects half as much more as the quick version suggests, and that is close enough that other factors decide.

The number is real, and it is still the wrong unit

Photons per pixel is worth computing because it tells you which noise regime you are in. Below roughly 5 detected photons, read noise dominates and a sub-electron sensor is genuinely decisive. Above about 10, shot noise dominates and every competent camera converges to within a few percent.

What it cannot do is rank two cameras. Pixel area is in it, so the answer partly describes how each sensor divides the field rather than how well it detects. Two cameras can differ by 37% in per-pixel SNR on one specimen and by about 2% per resolution element.

So use it to locate yourself on the noise curve, then convert to photons per unit specimen area or per resolution element before comparing anything to anything.

Simplified

Photons per pixel is worth knowing because it tells you what is limiting you. Below about five, the electronics dominate and a very quiet camera genuinely helps. Above about ten, the randomness of light dominates and all good cameras behave much the same.

What it cannot do is rank two cameras, because pixel size is baked into it. Two cameras can look forty percent apart per pixel and about two percent apart per unit of sample.

Use it to work out which regime you are in, then switch units before comparing.

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