Skip to Content
Uncategorized

Modified iPhone Can Detect Blood Disorders

The device could mean better and faster diagnoses for patients in poor countries.
October 5, 2011

A cheap lens that enables a cell phone’s camera to discern the shapes of cells in a blood sample could make it easier to diagnose conditions such as sickle-cell anemia in places without medical infrastructure.

Little lens: A millimeter-wide ball lens is held in front of a cell phone camera’s lens with a piece of rubber.

The system was developed at the University of California, Davis, and is designed to allow field workers to photograph blood samples from patients, and then send the micrographs to doctors via the cellular network for interpretation.

Although others have coupled microscopes to cell phone cameras, the Davis group aimed to make its device inexpensive. It did this by using a very simple lens that is made from a single ball of glass about one millimeter in diameter and held in position in front of the camera with a small piece of rubber. That small size results in a high curvature that provides good magnification, says Sebastian Wachsmann-Hogiu, a physicist with Davis’s Center for Biophotonics, Science, and Technology, and the leader of the research team. Because a cell phone camera also uses lenses with a short focal length and a miniaturized sensor with very small pixels, it’s optically compatible with the small ball lens. “You couldn’t do this with a regular camera, the distances there are too big,” says Wachsmann-Hogiu.

The downside of using a ball lens is that the resulting image is significantly distorted, except for in one very small area directly behind the lens. The Davis team solved this problem with software. To take an image using its system, the software takes multiple photos of a blood sample as either the camera or the sample is moved about; the software then combines the images into a larger, undistorted image. The current prototype can resolve features about 1.5 micrometers across.

While the system was developed using a relatively expensive iPhone 4 with a five-megapixel camera, Wachsmann-Hogiu says it could be adapted to cheaper phones with one or two megapixel cameras, which are more likely to be found in poor countries. Wachsmann-Hogiu believes that with mass production, an accessory based on a plastic, rather than glass, lens design could be produced for around $2, cheap enough to be broadly adopted in poor countries.

Quick comparison: The upper row shows blood cells imaged using a traditional microscope. The bottom row show the same samples imaged with a smart phone. The left column is normal blood, the middle column is from a patient with an iron deficiency, and the right column is from a patient with sickle-cell anemia.

Ramesh Raskar, a professor at MIT’s Media Lab, agrees that leveraging ubiquitous technologies is the key to improving health in poor countries. “There are more than four billion phones out there,” he says. “I can’t imagine more than one million microscopes are sold per year.” Raskar’s own Netra project is developing cell phone attachments that can be used for eye exams. He says work like that of his own and the Davis group is part of a “beautiful” trend that lets global health initiatives “piggyback on scalable platforms like cell phones.”

The Davis team, which will present its research to the Optical Society of America’s annual meeting next Wednesday, is planning a series of field tests and is in discussions with manufacturing partners to commercialize the technology. Wachsmann-Hogiu estimates the system could reach the market within two or three years. His team is also working on an accessory that lets a cell phone act as a spectrometer, built by stretching electrical tape with a narrow slit over the ends of a plastic tube. Light from a sample is diffracted by passing through the slits before falling on the phone’s camera, creating a spectrum that could be used to perform basic analyses of blood chemistry.

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.