This chip tracks individual cells by assigning them a unique code

To track cells, new lab-on-a-chip technology is borrowing a technique used by cellular networks to track phones.

The device, a type of microfluidic chip, uses a simple circuit pattern with just three electrodes to assign a unique seven-bit digital identification number to each cell passing through the channels on the chip.

Fatih Sarioglu holds a hybrid microfluidic chip that uses a simple circuit pattern to assign a unique seven-bit digital identification number to each cell passing through the channels. (Credit: John Toon, Georgia Tech)

Fatih Sarioglu, an assistant professor in Georgia Tech’s School of Electrical and Computer Engineering, says it’s a way to digitize the information from such chips. The ultimate goal is to use these inexpensive chips to conduct sophisticated medical testing outside hospitals and clinics.

How microfluidic chips work

Microfluidic chips use the unique biophysical or biochemical properties of cells and viruses to separate them. For instance, antigens can be used to select bacteria or cancer cells and route them into separate channels. But to obtain information about the results of the sorting, those cells must now be counted using optical methods.

The new technique, dubbed microfluidic codes, adds a grid of micron-scale electrical circuitry beneath the microfluidic chip. Current flowing through the circuitry creates an electrical field in the microfluidic channels above the grid.

When a cell passes through one of the microfluidic channels, it creates an impedance change in the circuitry that signals the cell’s passage and provides information about the cell’s location, size and the speed at which it is moving through the channel.

This impedance change has been used for many years to detect the presence of cells in a fluid, and is the basis for the Coulter Counter, which allowed blood counts to be done quickly and reliably. But the microfluidic CODES technique goes beyond counting.

The positive and negative charges from the intermingled electrical circuits create a unique identifying digital signal as each cell passes by, and that sequence of ones and zeroes is attached to information about the impedance change. The unique identifying signals from multiple cells can be separated and read by a computer, allowing scientists to track not only the properties of the cells, but also how many cells have passed through each channel.

“By judiciously aligning the grid pattern, we can generate the codes at the locations we choose when the cells pass by,” Sarioglu says. “By measuring the current conduction in the whole system, we can identify when a cell passes by each location.”

Better than 90% accuracy

Because the cells sorted into each channel of a microfluidic chip have certain characteristics in common, the technique would allow the automated detection of cancer cells, bacteria, or even viruses in a fluid sample.

Sarioglu and his students have demonstrated that they can track more than a thousand ovarian cancer cells with an accuracy rate of better than 90 percent. Their results appeared recently in the journal Lab on a Chip.

A researcher watches ovarian cancer cells move through a chip. The microfluidic channels are vertical; the circuit pattern is shown behind them. (Credit: John Toon/Georgia Tech)

The underlying principle for the cell identification is called code division multiple access (CDMA), and it’s essential for helping cellular networks separate the signals from each user. The microfluidic channels are fabricated from a plastic material using soft lithographic techniques. The electrical pattern is fabricated separately on a glass substrate, then aligned with the plastic chip

“We have created an electronic sensor without any active components,” Sarioglu says. “It’s just a layer of metal, cleverly patterned. The cells and the metallic layer work together to generate digital signals in the same way that cellular telephone networks keep track of each caller’s identity. We are creating the equivalent of a cellphone network on a microfluidic chip.”

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The next step in the research will be to combine the electronic sensor with a microfluidic chip able to actively sort cells. Beyond cancer cells, bacteria, and viruses, such a system could also sort and analyze inorganic particles.

The computing requirements of the system would be minimal, requiring no more than the processor power of smartphones that already handle decoding of CDMA signals. The proof-of-principle device contains just four channels, but Sarioglu believes the design could easily be scaled up to include many more channels.

“This is like putting a USB port on a microfluidic chip,” he explains. “Our technique could turn all of the microfluidic manipulations that are happening on the chip into quantitative data related to diagnostic measurements.

Ultimately, the researchers hope to create inexpensive chips that could be used for sophisticated diagnostic testing in physician offices or remote locations. Chips might be contained on cartridges that would automate the testing process.

“It will be very exciting to scale this up, and I think that will open up the possibility for many different assays to become accessible electronically,” Sarioglu says. “Decentralizing health care is an important trend, and our technology might one day allow many kinds of diagnostic tests to be done beyond hospitals and large medical facilities.”