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Scientists build 3D camera that can track invisible particles

📅 2026-07-18 📂 Science Original source ↗
Scientists build 3D camera that can track invisible particles
Representative image · Pexels (free license)
Key points

Tracking the untraceable

Scientists at the University of Hyderabad have built a camera that can track particles invisible to the naked eye — in three dimensions and in real time. The device, described in a paper published this week, could change how doctors spot infections or how cities measure air pollution.

Unlike conventional microscopes that capture flat images, this camera uses a light-field array to map the position and movement of particles as small as a few microns. The team says it can follow hundreds of particles simultaneously, reconstructing their paths in 3D space.

How it works

The camera combines a standard CMOS sensor with a micro-lens array placed in front of it. Each lens captures the same particle from a slightly different angle. Software then triangulates the data to create a three-dimensional trajectory.

Lead researcher Dr. Meera Nair explained that the system is essentially a high-speed 3D tracker. “We’re not just taking pictures — we’re mapping motion,” she said. The device can capture up to 1,000 frames per second, fast enough to follow particles moving in turbulent air or liquid.

Why it matters

Existing particle tracking methods often require tagging particles with fluorescent dyes or using bulky laser setups. This camera works with ordinary light. That means it can track natural particles — like pollen, dust, or bacteria — without altering them.

For medical diagnostics, the camera could help identify pathogens in blood samples in real time. For environmental science, it could map how pollutants spread indoors or across a city block. The team has already tested it on airborne fungal spores and plastic microbeads in water.

Challenges remain

The current prototype works only in controlled lab conditions. Bright sunlight or complex backgrounds can confuse the tracking algorithm. The researchers are now working to make the system robust enough for field use.

Another hurdle is data volume. The camera generates gigabytes of 3D coordinates per minute. The team is developing compression algorithms to make the system practical for portable devices.

What’s next

Dr. Nair’s group plans to shrink the camera into a handheld device within two years. They are also in early talks with a medical device company to explore applications in infection detection.

If the technology scales, it could give scientists and doctors a new way to see the invisible world moving around us — without ever touching it.

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