Skip to main content
  1. Home
  2. Emerging Tech
  3. Photography
  4. News

Study shows the human eye is capable of detecting a single photon

Add as a preferred source on Google

The human eye is an incredible machine. As far as camera technology has come over the past 150 years, no consumer-grade camera comes anywhere close to the visual capabilities of our ocular devices.

Just how capable are our eyeballs though? According to a new study published by Nature Communications, the human eye is powerful enough to detect a single photon directed at the retina. A photon, to offer a refresher, is the smallest particle that light — and all other electromagnetic radiation — is comprised of.

Recommended Videos

As explained by the Los Angeles Times, “Even the most sophisticated man-made devices require a cool, temperature-controlled environment to achieve the same feat.”

Until now, studies have suggested that humans are able to perceive as few as five to seven photons. Scientists believed the human eye was capable of seeing even fewer photons, but the devices used to release the beams weren’t accurate enough, leaving the researchers unsure of the exact number of photons that were released from the light source.

This latest research resolved that issue by using spontaneous parametric down-conversion (SPDC), a quantum optics process wherein a specialized crystal is used to split photon beams into pairs of photons. These two photons are split between the subject’s eye and a detector. If the detector recognizes a photon, scientists then know it was also sent to the subject.

The sample size used for the tests was very small. Only three males, all in their twenties and all with near-perfect vision, were tested. After sitting in a pitch-black room for 40 minutes, the subject was asked to clamp down on a bite bar and have his head placed inside a headrest to ensure the photons would be perfectly released into his retina.

Once rested, restrained, and ready, the subjects were asked to press a button, which triggered two distinct audio cues one second apart from each other. Upon completion, the participants were asked which one of the noises was accompanied by a photon in addition to a rating of how confident they were in that decision.

Over 30,000 trials were completed on the subjects. But only 2,420 of those were single-photon events. The reason for this was to build up a control to ensure the data wasn’t biased.

According to the paper, the subjects were able to detect when a single photon was fired 51.6% of the time, a number statistically significant enough to ensure it wasn’t random guessing.

Scientists are already working on developing cameras that can record single photons. But for the time being, and likely for years to come, these cameras won’t see so much as the light of day on a consumer level.

Until then, we’ll just have to enjoy the low-light capabilities through our own lenses and find out how to make the most of the cameras we do have available.

Gannon Burgett
Former Editor
Yet another study says AI is bad for elections, and the rabbit hole gets worse
AI may be an election bomb waiting for someone to light the fuse
Voters cast their ballots on Election Day

Another election, another study has concluded that asking an AI chatbot for political guidance is a spectacularly bad idea. Research conducted during Hungary’s 2026 parliamentary election found that ChatGPT and Google Gemini offered not just inaccurate but also inconsistent and unreliable voting advice. The chatbots misclassified voter profiles, overlooked relevant parties, recommended parties absent from the ballot, and sometimes produced materially different answers when given the same information repeatedly.

AI keeps failing the voter test

Read more
Samsung’s humanoid robot ambitions are real, but factories come first
Samsung’s new robotics division has humanoids in its sights, although its immediate business is far more practical factory automation
Robot Touch Human Finger

Samsung wants a place in the humanoid race, but its new robotics push begins with machines built for factories rather than homes.

The CEO-led RX robotics division will initially focus on manufacturing robots. Samsung has separately identified humanoids as a priority, although it hasn’t announced a commercial model or explained where one fits into the division’s immediate plans.

Read more
The future of AI may depend on this one behind-the-scenes change
Running Claude on Android.

Whenever a new AI model arrives, it's easy to get caught up in the bells and whistles. We talk about how much smarter it is, how quickly it answers questions, or how realistic its images have become. But here's the thing: none of that matters much if the AI can't reliably work with the apps and services people use every day.

That's why an upcoming update to the Model Context Protocol (MCP) caught my attention. It isn't a new chatbot or a fancy AI model. In fact, most people will never even know it's happening. But it could quietly make the AI ecosystem a lot healthier. If you've never heard of MCP before, don't worry. Think of it as a shared language that lets AI assistants safely talk to apps like Gmail, Slack, calendars, databases, and countless other services. Instead of every company inventing its own way to make those connections, MCP gives everyone a common rulebook.

Read more