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RESEARCH · QUANTUM SENSING

Could a diamond sensor map how electricity moves through tissue?

A $3.2 million research project aims to turn faint magnetic signals into a map of tissue conductivity. Here is what a convincing first image would show.

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Andrea Alù wearing a bow tie and speaking at a lectern during the 2015 NSF awards ceremony.
Andrea Alù speaks at the 2015 National Science Foundation awards ceremony. He will work on how the imaging team extracts spatial information from a magnetic signal. Photograph by Sandy Schaeffer for NSF.Sandy Schaeffer for NSF · Public domain in the United States (U.S. government work)Full image credit

An imaging instrument that never touches the sample still needs a way to find out what is inside. Physicist Carlos Meriles and colleagues in New York want to try it with a diamond. Their idea is to pick up the faint magnetic response of tissue and use it to estimate where electrical current flows more easily.[1][2]

City College of New York described the collaboration on November 3. The funding predates that announcement. The federal grants ledger records a $3.2 million award on September 18, and the Advanced Research Projects Agency for Health lists the project as qSENSE. Its goal is to test whether the measurement could work well enough to build a portable imaging instrument.[1][2][3]

What would the diamond actually measure?

A changing magnetic field can set small currents circulating in conductive material. Those currents produce a second magnetic field that a sensitive instrument can pick up from outside. Imagine sliding a container of salt water past such an instrument. As the container moves, the field the instrument detects changes, even though the liquid never touches the sensor.[4]

Meriles’s team plans to use tiny defects in diamond called nitrogen-vacancy centers. Their response to a magnetic field can be read with light at room temperature. Qiushi Guo’s group brings expertise in building compact optical components. Andrea Alù will work on how to arrange the measurements and extract the information about position that an image requires.[1][2]

The distinction matters if you picture two samples with the same total amount of salt water. One might hold the liquid in a single pocket and the other in two pockets farther apart. Detecting a signal from either sample would be encouraging. An image has a harder job. It should put each pocket in the right place. The software must work backward from the measured fields to estimate how conductivity varies across the sample.[1][2][4]

Three stages of the proposed method: a changing field induces currents in a sample, a diamond sensor reads their magnetic field, and software estimates a conductivity map.
Proposed measurement concept. The instrument measures a magnetic response. Software uses those measurements to estimate where a sample conducts current more readily.Original QubitWire explanatory diagram, based on the CCNY announcement and ARPA-H project record. QubitWire illustration · QubitWire original schematicFull image credit

What a useful first picture could show

There is precedent for the simpler measurement. In a separate 2024 experiment, researchers used a sensor made with alkali atoms to detect small saltwater containers at conductivities as low as 0.55 siemens per meter. That experiment gives a concrete example of the kind of weakly conducting material an instrument can detect. It used a different sensor and did not test the New York design.[5]

For qSENSE, an informative test would be a sample whose internal layout is known to the person checking the result. Can the reconstruction distinguish two nearby pockets? Does it put them at the right depth? How long does that image take to collect? Answers would tell a reader much more about imaging performance than a single number for the weakest field the sensor can detect.[1][2]

ARPA-H describes bedside use as a possibility for places where larger imaging equipment is impractical. Neither the agency’s project record nor the university’s announcement presents a scan of a patient or a measure of diagnostic accuracy. For now, the result to look for is an image whose accuracy someone can check against the object that produced it.[1][2]

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Evidence & context

5 linked sources

University research announcement, federal award record and prior laboratory experiment

How to read the evidence and dates

An announcement records what an organization stated. An experiment reports an observation. A simulation or resource estimate depends on its assumptions. QubitWire’s analysis connects these sources; the labels are not quality scores.

Published is the article’s first QubitWire publication. Updated marks a substantive content change. Sources checked records a review of the underlying evidence. An older paper can support a new explanation, and another press release about the same work is not independent replication.

Sources

  1. City College of New York · The imaging collaboration

    The November 3 announcement identifies the three researchers, their respective roles and the project’s immediate research goals.

  2. ARPA-H · qSENSE project record

    The federal funder names Carlos Meriles as principal investigator, lists September 18 as the award start and describes the proposed diamond sensor and computational imaging system.

  3. HHS · Federal award AY2AX000274

    The federal grant ledger records a $3.2 million award action on September 18, 2026.

  4. Niels Bohr Institute · How magnetic induction sensing works

    A separate research group explains the physics of the induced currents and the weak secondary field through examples involving cracks and salt water.

  5. Wang and colleagues · Physical Review Applied, 2024

    This separate atomic magnetometer experiment detected small saltwater containers. Its reported conductivity and uncertainty describe bench measurements, not patient imaging.

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