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Ultra-early cancer detection

Your cells emit light.
We learned to read it.

No needle. No dye. No added radiation.

01The problem

Cancer is caught too late.

Every 60 seconds, the U.S. loses one person to cancer. Not because treatments fail, but because they start too late.

>90%

5-year survival

when caught early

~30%

5-year survival

when caught late

The problem isn't timing. It's what we can see.

GROWTH 01 / 9

Before the first change

The story begins with a few normal cells.

Scroll to watch it grow

Three separate normal-appearing cells.
Before the first change

The story begins with a few normal cells.

The same cells; one nuclear/lineage cue begins to appear.
A single cell changes

A single cell acquires a driver mutation: a DNA change that can give it a growth advantage.

Four descendants of the altered cell form a small cluster.
The change is passed on

Now we follow the altered cell’s descendants as they inherit the change and divide.

Additional altered descendants appear.
The cluster grows

Repeated divisions build a larger cluster of related cells.

A rounded, dense aggregate represents premalignant growth.
A precancerous cluster

The growing cluster becomes more crowded and disorganized.

Dense mass without visible new vessels.
Growth needs a blood supply

As the mass grows, oxygen can become scarce inside. Cells can send signals that encourage new blood vessels to grow.

First fine vessels are visibly present.
A blood supply supports growth

New blood vessels grow around the mass, supplying oxygen and nutrients that support further growth.

First cells visibly extend beyond the former main-mass contour into nearby tissue.
Growth into nearby tissue

With further changes, cells can become cancerous and grow into nearby tissue.

Largest mass with vessels and local extension.
Standard imaging typically detects a tumor at ~1 cm.

Roughly 1 billion cells.By then, it's been growing silently for years.

But there's a signal before there's a tumor.

02Our approach

Cancer has a light signature.

Cells emit faint light as they metabolize. In lab and animal studies, cancer cells’ light differed from comparison cells. HelioFlux is investigating whether that difference could support earlier detection.

Original cellular comparison image: normal-appearing cells with a smooth waveform on the left, and atypical cells with a variable waveform on the right.
Normal cells emit a smooth, steady light signature. Cancer cells emit a disrupted one.

We built the tool to read it.

We’ve built research prototypes and published the early findings in peer-reviewed journals. Now we’re developing the clinical version.

Two systems. One signal.

Line drawing: faint light given off by the mitochondria inside a cluster of cells drifts to a detector panel, and the counts it records come out as three lanes of bars, one for each color.

Hardware

QSense™

Counts the light.

A photon-counting sensor designed to record the faint light living tissue gives off on its own, in darkness, with no dye and no added radiation.

Research prototype

Software

LuminAI™

Reads the pattern.

Software built on a decade of cell and animal data. It reads the color and timing of the signal, not only its brightness, distinguishing healthy tissue from cancer in real time.

In development

03Published researchPeer-reviewed, led by Dr. Nirosha Murugan

A foundation in published science.

Dr. Nirosha Murugan’s published work spans cell cultures, a mouse melanoma model, and exploratory measurements in healthy adults. Each study addresses a different level of evidence.

Explore the science
  1. See the 2018 study on the research timeline2018Cells in a dishCancer and non-cancer cells differed in the color of their light.Biochemistry and Biophysics Reports (opens in a new tab)
  2. See the 2020 study on the research timeline2020Cells and miceA mouse melanoma experiment found group-level differences at 24 hours.Cancers (opens in a new tab)
  3. See the 2025 study on the research timeline2025Healthy adultsFaint light recorded near the head, alongside EEG.iScience (opens in a new tab)

Featured in

Nature Scientific American Radiolab Cell Press CBC News LA Business Journal

Nature news feature, July 2026: All living things emit a faint glow. Could this light be useful? Mentions Dr. Nirosha Murugan. Read the feature (opens in a new tab)

Dr. Nirosha Murugan at the microscope
04The next study

Next: the first study in people with cancer.

Each person’s light reading would be compared with their biopsy result. That kind of human cancer data doesn’t exist yet. Producing it is the point of the study.

05The team

The team behind
the technology.

Meet the full team
  • Dr. Nirosha J. Murugan

    Dr. Nirosha J. Murugan

    Interim CEO, Chief Scientist & Co-Founder

  • Kelly Lucas

    Kelly Lucas

    President & Co-Founder

  • Jim Armstrong

    Jim Armstrong

    Interim CFO

  • Glenn Lucas

    Glenn Lucas

    Chief Strategy Officer

Partner program

NVIDIA Inception Program

The science works.
The next step is human data.

Ten years of published research. Validated in cells, animals, and living human subjects. We’re raising a pre-pilot round for our first IRB-approved human study.