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
Ultra-early cancer detection
No needle. No dye. No added radiation.
Every 60 seconds, the U.S. loses one person to cancer. Not because treatments fail, but because they start too late.
5-year survival
when caught early
5-year survival
when caught late
GROWTH 01 / 9
The story begins with a few normal cells.
Scroll to watch it grow
The story begins with a few normal cells.
A single cell acquires a driver mutation: a DNA change that can give it a growth advantage.
Now we follow the altered cell’s descendants as they inherit the change and divide.
Repeated divisions build a larger cluster of related cells.
The growing cluster becomes more crowded and disorganized.
As the mass grows, oxygen can become scarce inside. Cells can send signals that encourage new blood vessels to grow.
New blood vessels grow around the mass, supplying oxygen and nutrients that support further growth.
With further changes, cells can become cancerous and grow into nearby tissue.
Roughly 1 billion cells.By then, it's been growing silently for years.
But there's a signal before there's a tumor.
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.
We’ve built research prototypes and published the early findings in peer-reviewed journals. Now we’re developing the clinical version.
Hardware
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
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
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
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)
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)
See the 2025 study on the research timeline2025Healthy adultsFaint light recorded near the head, alongside EEG.iScience (opens in a new tab)
See how the proposed study would workNextPeople with cancerA proposed study would match light measurements to biopsy results.Featured in
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)
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.
Where we’re starting

IRB study in development
HelioFlux is preparing an IRB study for breast cancer detection with Dr. Tom Lomis, a world-renowned cancer oncologist and surgeon, to evaluate how ultra-weak photon emissions may support earlier, non-invasive detection.

Human study in preparation
90-92% accuracy across multiple cancer cell lines in cell cultures and animal models. Cancer signals detected within 24 hours; physical tumors weren’t visible for another 18 days. First human study targeting Q2 2027 with a Beverly Hills dermatology partner.

Published 2025 · iScience
In 20 healthy adults, faint light recorded near the head was studied alongside EEG. Published in iScience in 2025, it was an exploratory study of brain activity, not cancer detection.

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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.








